JP2020010688A - Systems and methods for remotely monitoring cryogenic processing of samples - Google Patents

Abstract

To provide a remote system for monitoring and controlling one or more devices for use in the cryogenic processing of a sample.SOLUTION: A remote system for monitoring and controlling one or more devices for use in the cryogenic processing of a sample is provided. A remote server is provided, capable of transmitting freezing profile data to one or more freezers, transmitting transportation profile data to one or more transportation devices, and transmitting thawing profile data to one or more thawing machines. The remote server is also capable of receiving detected data from the one or more freezers relating to the freezing of a sample in accordance with the freezing profile data, receiving detected data from the one or more transportation devices relating to the transportation of a sample in accordance with the transportation profile data, and receiving detected data from the one or more thawing machines relating to the thawing of a sample in accordance with the thawing profile data.SELECTED DRAWING: Figure 7

Description

  The present technology relates to systems and methods for remotely monitoring cryogenic processing of a sample. More specifically, the present technology relates to systems and methods for remotely monitoring cryogenic freezing, cryogenic storage, cryogenic transport, and cryogenic thawing of samples.

  Cryogenic processing of the sample involves temperatures below -90 ° C (-130 ° F). Cryogenic freezing of a sample involves lowering the temperature of the sample below -90 ° C. Cryogenic thawing of a sample involves raising the temperature of the sample from -90 ° C or less. Cryogenic storage and transport of samples involves maintaining the temperature of the sample below -90 ° C. In most cases, cryogenic storage and transport of a sample involves maintaining the temperature of the sample at the temperature at which the sample was cryogenically frozen.

  Cryogenic treatments can be used in many different fields, such as regenerative medicine, biobanks, atmospheric microphysics, conservation, assisted reproductive medicine, gene transfer, food processing, freeze drying, and the like. Cryogenic treatments can be used for a variety of products, such as regenerative medicine, which are required to maintain cell viability and function upon thawing, or tissue integrity and functionality, for example. Clinical applications, such as in the fields of transplantation, blood transfusion, and vaccination, include cells and tissues. Cryogenic treatment can also be used with non-cellular materials, for example with conventional vaccines, or in biobanks on cell-free samples.

  The cryogenic treatment described herein can be used to transport samples such as T cells and hematopoietic cells from patients to centers that manufacture immunotherapeutic agents or gene therapy agents, or to store biological tissues for examination from operating rooms for long-term storage. It can be used for transporting samples, such as transport to a biobank. The cryogenic treatment described herein can also be used to transport manufactured cell products, such as immunotherapeutic or gene therapy agents, from the point of manufacture to the patient.

  It is necessary to monitor the sample to maintain and verify the integrity of the sample at any point during processing, from freezing to storage, transport, and even thawing.

  According to a first aspect of the present technology, there is provided a system for remotely monitoring cryogenic processing of a sample, as set forth in the accompanying independent claim 1.

  According to a second aspect of the present technology, there is provided a method of remotely monitoring cryogenic processing of a sample, as set forth in the accompanying independent claim 43.

  According to a third aspect of the present technology, there is provided a cryogenic refrigerator for freezing a sample according to a sample freezing profile according to the independent claim 85.

  According to a fourth aspect of the present technology, there is provided a cryogenic thawer for thawing a sample according to a sample thawing profile as set forth in the accompanying independent claim 96.

  According to a fifth aspect of the present technology, there is provided a cryogenic transport device for transporting a cryogenic frozen sample according to the attached independent claim 107.

  According to a sixth aspect of the present technology, there is provided a remote server for remotely monitoring cryogenic processing of a sample, as set forth in the accompanying independent claim 117.

  According to a seventh aspect of the present technology, there is provided a computer program product comprising computer code for performing any of the methods described herein.

  According to an eighth aspect of the present technology, there is provided a system for remotely monitoring cryogenic processing of a sample, as set forth in the accompanying independent claim 159.

  According to a ninth aspect of the present technology, there is provided a system for remotely monitoring cryogenic processing of a sample, as set forth in independent claim 160.

  According to a tenth aspect of the present technology, there is provided a system for remotely monitoring cryogenic processing of a sample, as set forth in the accompanying independent claim 161.

  According to an eleventh aspect of the present technology, there is provided a system for remotely monitoring cryogenic processing of a sample as set forth in independent claim 162.

  According to a twelfth aspect of the present technology, there is provided a system for remotely monitoring cryogenic processing of a sample, as set forth in the accompanying independent claim 188.

  According to a thirteenth aspect of the present technology, there is provided a method of remotely monitoring cryogenic processing of a sample, as set forth in attached independent claim 201.

  According to a fourteenth aspect of the present technology, there is provided a method of remotely monitoring cryogenic processing of a sample, as set forth in attached independent claim 230.

  Preferred features are set out in the accompanying dependent claims.

  Next, embodiments will be described with reference to the accompanying drawings.

It is the schematic which shows a cryogenic refrigerator. It is a figure showing a predetermined freezing profile. It is a figure which shows the detection plate temperature during a refrigeration cycle. FIG. 3 is a diagram showing a detected sample temperature during a refrigeration cycle. FIG. 3 is a diagram showing a predetermined freezing profile in FIG. 2, a detection plate temperature in FIG. 3, and a detection sample temperature in FIG. FIG. 4 is a schematic diagram showing a remote server. 1 is a schematic diagram illustrating a system for monitoring one or more cryogenic refrigerators. FIG. 5 is a graph showing the detection plate temperature in FIG. 3 and the detection sample temperature in FIG. 4, with “observation” added as a comment. FIG. 2 is a schematic diagram showing an outline of processing of a biological sample. It is the schematic which shows a thawing machine. FIG. 4 shows a defrosting profile. FIG. 6 is a diagram showing a detected sample temperature during a thawing cycle. FIG. 1 is a schematic diagram illustrating a system for monitoring one or more defrosters. FIG. 13 is a diagram showing the detected sample temperature of FIG. 12 transferred to the server of FIG. 6, with “observation” added as a comment. FIG. 3 is a schematic diagram showing a storage device. 1 is a schematic diagram illustrating a remote system for monitoring one or more devices used for cryogenic processing of a sample. Figure 3 is a graph showing two different sets of detection thawing temperatures. 4 is a graph showing the power required to cool a biological sample through an ice-forming area.

  Provided is a remote system for monitoring and controlling one or more devices used for cryogenic processing (eg, freezing, cooling, and / or thawing) of a sample. The remote system may use freeze profile data and / or thaw profile data for cryogenic processing. The remote server transmits refrigeration profile data to one or more refrigerators, transmits storage profile data to one or more storage devices and / or transport devices, and transmits thawing profile data to one or more thawing devices. Can be transmitted. The remote server also receives from the one or more refrigerators detection data regarding the freezing of the sample according to the freezing profile data and one or more detection data regarding storage and / or transport of the sample according to the storage profile data. Detection data may also be received from one or more thaws received from multiple storage and / or transport devices and for thawing the sample according to the thawing profile data. The detected frozen data and / or the detected thawed data can be recorded / stored and provided to the user / third party.

  In order to cryogenically freeze the sample, a cryogenic refrigerator such as the Asymptote (registered trademark) VIA Freeze (registered trademark) series refrigerator may be used. FIG. 1 is a schematic diagram showing a cryogenic refrigerator 1. As can be seen from FIG. 1, the cryogenic refrigerator 1 includes a freezer compartment 28 coupled to a heat removal unit 32 and in which a sample 30 to be frozen is disposed. The refrigerator 10 also includes at least one memory 18, at least one user interface 14, at least one communication interface 26, at least one data storage device 16, and at least one sensor 20, 22, 24,. , N, and at least one processor 12 coupled to the control module 10. The refrigerator 1 may include other elements not shown.

  Memory 18 includes a program memory that stores computer program code for controlling heat removal unit 32 to freeze sample 30 as described herein, and data, programs, or data that processor 12 receives or processes. A working memory for storing instructions. Memory 18 and / or data storage 16 may include volatile memory, such as random access memory (RAM), used as temporary memory. Additionally or alternatively, memory 18 and data storage 16 may include non-volatile memory, such as flash memory, read-only memory (ROM), or electrically erasable programmable ROM (EEPROM).

  The processor 12 processes data (for example, data received from the sensors 20, 22, 24,..., N, a program, a command received from a user via the user interface 14, and the like), and outputs an output signal corresponding to the processing. May include processing logic to generate. Control module 10 may include any suitable circuitry or logic, such as a field programmable gate array (FPGA), a system-on-chip device, a microprocessor device, a microcontroller, and one or more integrated circuits. May include any one or more of the following: The control module 10 is coupled to the heat removal unit 32 for controlling the temperature of the freezer 28.

  User interface 14 may be one or more of a computer screen, touch screen, keyboard, mouse, speaker, barcode scanner, fingerprint scanner, and the like.

  The communication module 26 can be configured to receive data or data signals from one or more external devices (such as a remote server described herein). The communication module 26 may be a communication interface or a communication unit. The communication module can be configured to receive data via a wired or wireless network, such as the Internet. The communication module can also be configured to transmit data or data signals over a wired or wireless network, such as the Internet, to one or more external devices (such as a remote server).

  Data storage device 16 may be configured to store data from sensors 20, 22, 24,..., N. Data storage device 16 may be coupled to at least one communication module 26 and at least one processor 12.

  The components of the control module 10 may be a combination of hardware components and software components, all may be software components, or all may be hardware components.

  A cryogenic refrigerator as shown in FIG. 1 cryogenically freezes a sample according to a refrigeration profile. It is known that the freezing profile of each of the various samples needs to be predetermined by a skilled scientist. The cryoprofile is based on a number of factors, including the composition of the sample, the type or types of cells used, the size (weight) of the sample, the nucleation temperature, the amount of cryoprotectant used, and the container containing the sample. Determined by a skilled scientist. Compounds that have a protective effect during cryopreservation are called cryoprotectants. In some embodiments, the cryoprotectant is dimethyl sulfoxide (DMSO), glycerol, glucose, propylene glycol, polyethylene glycol, saccharides, alcohols, sugar alcohols, apoptosis inhibitors, ficoll, polyvinylpyrrolidone, or a cryoprotectant thereof. Two or more of the protective substances can be selected from a combination in a concentration ranging from 0 to 100%.

  The refrigeration profile will be specific to the factors used in determining it. For example, the frozen profile determined for 2 ml of sample A may be different from the frozen profile determined for 250 ml of sample A, and the frozen profile determined for 200 ml of sample A containing 10% DMSO has a 12% DMSO May differ from the frozen profile determined for the 200 ml sample A containing.

  FIG. 2 is a schematic diagram illustrating an exemplary predetermined freezing profile of a sample (shown using a graph of temperature versus time). The refrigeration profile, regardless of format, includes a set of instructions input to the refrigerator that define the rate of cooling of the sample during the refrigeration cycle. The refrigeration cycle starts at time t = 0 minutes when the sample is placed in the refrigerator. In most cases, the sample will be between room temperature and the freezing temperature of the sample at the beginning of the refrigeration cycle. The refrigeration cycle ends when the sample reaches the desired temperature defined in the refrigeration profile. For example, according to FIG. 2, the refrigeration cycle ends at time t = 180 minutes.

  A refrigeration profile may include various linear cooling rates (ramps), as well as constant temperature holding periods (quiescent periods), and may include linear and non-linear cooling protocols. As described above, the freezing profile is predetermined for each of the various samples. When freezing a sample having the same sample composition, sample size, amount of cryoprotectant, container, etc. as specified in a given freezing profile, that particular freezing profile must be programmed into the refrigerator. In known systems, each of the predetermined refrigeration profiles is provided to a human operator, usually in paper form, as part of an instruction manual, and the human operator inputs the predetermined refrigeration profiles via the user interface 14 of the refrigerator. There is a need to.

  However, since the user manually inputs the predetermined freezing profile, an error may occur. For example, when copying a given frozen profile from a paper medium, typographical errors can occur with input by a user of the system.

  As described above, the refrigerator 1 includes at least one sensor 20, 22, 24,..., N. One or more of these sensors 20, 22, 24,..., N includes a temperature sensor provided to monitor the temperature in the freezer compartment 28 during the refrigeration cycle. The temperature sensor detects the temperature at one or more different locations within the freezer compartment 28, such as the temperature at a plate within the freezer compartment 29. The temperatures are detected during freezing of the sample according to a predetermined freezing profile, and the data storage device 16 stores these detected temperatures along with the sensor location, and / or sensor ID, and the time at which the temperature was sensed. .

  FIG. 3 is a schematic diagram showing the detected temperature of the plate with respect to the time during which the sample is frozen according to the predetermined freezing profile of FIG.

  In addition to detecting temperatures at different locations within the freezer compartment 28, one or more sensors 20, 22, 24,..., N may be provided for detecting the actual temperature of the sample during the refrigeration cycle. The sensors 20, 22, 24, ..., n detect the actual temperatures during freezing of the sample according to a predetermined freezing profile, and the data storage device 16 determines these detected temperatures by the position of the sensor and / or the sensor. The ID is stored together with the time at which the temperature was sensed.

  FIG. 4 is a schematic diagram showing a detected temperature of a sample with respect to a time during which the sample is frozen according to the predetermined freezing profile of FIG.

  FIG. 5 is a schematic diagram showing the predetermined freezing profile of FIG. 2, the detected temperature of the plate of FIG. 3, and the detected temperature of the sample of FIG. As understood in the art and as shown in FIG. 5, the refrigeration of the actually detected sample performed in each refrigerator may be different from the predetermined refrigeration profile. Variations can result from a number of factors, such as the accuracy of sample preparation. For example, certain predetermined freezing profiles may require 200 ml of Sample A mixed with 10% DMSO. However, some users 120, 121,..., 12n may inadvertently add 195 ml of sample A mixed with 10.5% DMSO or 202 ml of sample A mixed with 11% DMSO. Variations may also occur as a result of refrigerator variations. For example, the heat removal unit 32 of the refrigerator may not function at maximum efficiency.

  In addition to detecting the actual temperature in the refrigeration cycle, one or more sensors 20, 22, 24,..., N for detecting the external temperature of the refrigerator during the refrigeration cycle can be provided. In addition, one or more sensors that detect when the refrigerator door is opened, when the refrigerator door is closed, when the door is opened and closed, and / or how long the door has been open. Can also be provided.

  According to one embodiment, the sensors 20, 22, 24, ..., n continuously detect during the refrigeration cycle. According to another embodiment, the sensors 20, 22, 24, ..., n periodically detect during the refrigeration cycle.

  The sensor data detected by the sensors 20, 22, 24, ..., n is related to the freezing of the sample by the freezing profile. The sensor data detected by the sensors 20, 22, 24,..., N includes the temperature at one or more different positions in the freezing chamber 28 during the freezing cycle, the temperature of the sample during the freezing cycle, and the freezing during the freezing cycle. One or more of the refrigerator door data, such as the external temperature of the refrigerator, when the refrigerator door was opened and / or closed during the refrigeration cycle, and how long the door was open May be included. For each detection, the date and time of detection is also recorded together with an index indicating the detected sensor.

  In addition to the sensor data detected by the sensors 20, 22, 24,..., N, the control module 10 can also detect and store other data relating to the freezing of the sample by the freezing profile. Other data may include refrigerator data, and / or sample data, and / or user data, and the like. The control module 10 includes a refrigerator identifier, refrigerator energy consumption (energy consumed by the refrigerator during the refrigeration cycle, and / or energy consumed by various components of the refrigerator during the refrigeration cycle), Location (actual location of the refrigerator, and / or the IP address of the refrigerator), refrigerator alarm data (e.g., whether an alarm such as an open door alarm was activated on the refrigerator, and / or, e.g., closing the door, etc. Refrigerator data may be stored, such as whether any action was taken in response to the alert. The control module 10 includes sample identifiers, sample composition data (information on sample composition, etc.), sample size / weight data (information on sample size / weight, etc.), sample container data (information on sample containers, etc.) ), Predetermined freezing profile, sample freezing date (e.g., date the sample was frozen according to the freezing profile), sample freezing time (e.g., freezing cycle start time, freezing cycle end time, and / or freezing cycle duration) In some cases, sample data such as data may be stored. The control module 10 may also store user data, such as the user's identifier, the user's observations described in more detail below.

  The sensor data detected by the sensors 20, 22, 24, ..., n, and the refrigerator data, and / or the sample data, and / or the user data are all related to the freezing of the sample by the freezing profile, It is of interest to the user. However, the user is not at a certain location of the refrigerator, for example, because the user requires data from multiple refrigerators or is conducting a clinical test that requires data from multiple locations. There is also. Thus, the data can also be transferred to a remote server using the communication module 26.

  FIG. 6 is a schematic diagram showing the remote server 50. The remote server 50 includes at least one processor 52, at least one working memory 54, at least one stored program memory 58, at least one data storage device 56, and at least one communication module 60. Remote server 50 may also include other components not shown. The components of the remote server 50 may be a combination of hardware components and software components, all may be software components, or all may be hardware components.

  The remote server is communicatively coupled to at least one refrigerator. According to one embodiment, the remote server 50 is connected to at least one cryogenic refrigerator via a network, such as the Internet, using the communication module 60. This connection may be wired or wireless. The at least one cryogenic refrigerator can now exchange data with the remote server 50. For example, the at least one cryogenic refrigerator can transmit data to a remote server 50, and the remote server 50 can receive data transmitted from the at least one cryogenic refrigerator. Further, the remote server 50 can also transmit data to the at least one cryogenic refrigerator, and the at least one cryogenic refrigerator can also receive the data transmitted from the remote server 50.

  According to one embodiment, data transferred between the refrigerator and the server is encrypted using, for example, a private / public key pair.

  The user can access the remote server 50 from any computing device (laptop computer, tablet, smartphone, personal computer, etc.) via a web browser. According to one embodiment, a user may be required to log in to a remote server and have an account. After connecting to the remote server 50, the user can access data from the refrigerator. According to one embodiment, a data mining process may also be applied to data collected at a remote server to extract from the data information and / or patterns that would otherwise be impossible without matching the data. is there.

  FIG. 7 is a schematic diagram illustrating a system for monitoring one or more cryogenic refrigerators. A plurality of cryogenic refrigerators 100, 101, 102,..., 10n are shown in FIG. To avoid doubt, the plural may be any number, including one. Each of the plurality of refrigerators 100, 101, 102,..., 10n may be provided at the same position as other refrigerators, or may be provided at different positions. Each of the refrigerators 100, 101, 102, ..., 10n can be operated by a human operator (users 120, 121, 122, ..., 12n). Further, each refrigerator 100, 101, 102,..., 10n is communicatively coupled to a remote server 130. The remote server 130 can receive data from the refrigerator to monitor the refrigerator and can also transmit data to the refrigerator.

  As mentioned above, the freezing profile is predetermined by a skilled scientist. This predetermined freezing profile is then provided to the remote server 130, along with associated criteria such as sample composition, sample size, amount and composition of cryoprotectant added to the sample, and type of container in which the sample is placed. I do. According to one embodiment, the remote server 130 transmits a predetermined refrigeration profile to the plurality of chillers 100, 101, 102, ..., 10n. According to one embodiment, a given refrigeration profile can be transmitted to these multiple refrigerators substantially simultaneously. By transmitting a predetermined refrigeration profile to a plurality of refrigerators, the number of cases in which a human error occurs when a predetermined refrigeration profile is input is reduced, so that consistency can be improved.

  When it is necessary to freeze a sample in one of the refrigerators, the user 120, 121, 122,..., 12n at the refrigerator can use a user interface 14 such as a touch screen of the refrigerator. It is only necessary to select a suitable predetermined freezing profile from a plurality of predetermined freezing profiles via. The user 120, 121, 122,..., 12n at the refrigerator does not need to manually input a predetermined refrigeration profile to the refrigerator. The user at the refrigerator may be required to enter his or her user ID via the user interface 14 before using the refrigerator. The user at the refrigerator can use the touch screen, use the barcode scanner when the sample ID is stored as a barcode, or use the sample ID stored as a QR code (registered trademark). In some cases, the user may be required to input a sample ID via the user interface 14 using an imaging device or the like.

  Transmitting a given refrigeration profile to multiple chillers allows the user 140 at the remote server 130 to use the same given refrigeration profile when each chiller freezes the same sample. This is also advantageous in that it can be guaranteed. This is useful when identifying anomalies in data collected from multiple refrigerators, all running the same predetermined refrigeration profile. Further, when a given refrigeration profile is updated by a skilled scientist, for example, as a result of new data being made available, an updated version of the given refrigeration profile may be distributed from a remote server to a plurality of refrigerators. Thus, the consistency of the entire refrigerator network can be improved. According to one embodiment, the updated predetermined refrigeration profile can be transmitted to multiple chillers substantially simultaneously.

  A given refrigeration profile can be provided to multiple chillers as a graph as shown in FIG. 2 or as a set of instructions. An exemplary instruction set for the graph shown in FIG. 2 can also be represented as follows:

  When a predetermined freezing profile that is one of the plurality of freezers is selected, detection sensor data related to freezing of the sample by the freezing profile, freezer data, sample data, and / or user data, The information is transmitted from the refrigerator to the remote server 130. This data may be transmitted continuously from the refrigerator to the remote server, as needed, periodically, or at the end of the refrigeration cycle. Thus, the remote server can receive this data in near real time. Remote server 130 stores the received data in data storage device 56.

  The detected refrigeration data related to the freezing of the sample according to the predetermined refrigeration profile can be transmitted from the refrigerator to the remote server 130 as a graph as shown in FIG. Alternatively, the detected refrigeration data relating to the freezing of the sample according to the predetermined refrigeration profile can be transmitted from the refrigerator to the remote server 130 as a plurality of data logs. In another alternative, the detected refrigeration data related to freezing the sample according to a predetermined refrigeration profile may be transmitted from the refrigerator to the remote server 130 as a combination of graph (s) and / or data logs. Can also.

  Upon receiving the plurality of detected data logs, the remote server 130 can generate an actual refrigeration graph from the plurality of data logs representing the freezing of the sample, such as the graph shown in FIG.

  The user 140 can access, at the remote server 130, the received refrigeration data relating to refrigeration of the sample according to a predetermined refrigeration profile. Server 130 may provide a user with data obtained from one or more refrigerators and / or one or more refrigerators. For example, a clinical trial may involve freezing multiple samples (of the same type) in multiple different refrigerators, all using the same freezing profile. In this case, reception data relating to a plurality of refrigerations in a plurality of different refrigerators can be presented to the user 140 in an easy-to-use format. For example, the remote server 130 can generate a “frozen consistency report” from the received data. The `` refrigeration consistency report '' provides received refrigeration data received from a plurality of refrigerators in one graph, and the user collectively refers to a range of various refrigerators and / or refrigeration, for example, The shortest freezing time, the longest freezing time, and the average freezing time can be easily compared. In addition, strict grouping may show very consistent performance, and large discrepancies may indicate that something was not well controlled. Further, if there is an abnormality in the received frozen data, it can be easily specified by the user. The "Refrigeration Consistency Report" also allows the user 140 to refine the analysis further, e.g. to one refrigerator, one user, one refrigeration profile, A drop down filter can be provided. The ability to store data relating to a plurality of different refrigerations received from a plurality of different refrigerators is advantageous because a remote user can quickly identify the anomaly. This is particularly beneficial for users conducting clinical trials. Previously, in clinical trials, remote users would not receive data, possibly for weeks after freezing, and / or would not receive the same amount or quality of data because previously only sensor frozen data was provided. Because there must have been.

  According to one embodiment, the remote server 130 can annotate the received frozen data with “observation”. FIG. 8 is a diagram showing an actual frozen graph generated by the remote server from the received data log and annotating observations. The observation is generated by a remote server based on data received from the refrigerator. For example, referring to FIG. 8, the observation is “close the lid”. The observation "close the lid" is determined from the received sensor data. For example, the door sensor data indicates that the door sensor has detected that the lid has been closed at 01:43. Thus, the remote server adds the observation "close lid" at 01:43 to the received frozen data.

  Further, the refrigerator operator, ie, users 120, 121, 122,..., 12n, can create user observations and add annotations. This annotation is transferred from the refrigerator to the remote server 130. For example, when freezing a biological sample as part of a clinical trial, users 120, 121, 122,..., 12n may observe the time at which the sample was taken from the patient before freezing the sample. May be added. These user observations are added via the user interface 14 in the refrigerator and transferred to the remote server 130 as user data, along with other data related to freezing the sample according to a predetermined freezing profile.

  The received sensor data, refrigerator data, sample data, and / or user data received by the remote server 130 and related to freezing the sample by the freezing profile can also be analyzed to check the freezing process. For example, a given freezing profile may require about 500 joules of energy to complete freezing. Five of the chillers transfer data indicating that they have completed a refrigeration cycle with a given refrigeration profile using approximately 500 joules of energy, but one of the refrigerators has 800 joules of energy. When used to transfer data indicating that a refrigeration cycle with a given refrigeration profile has been completed, it can be determined that an unknown event has occurred on that one refrigerator and needs further investigation. . Previously, it would not have been possible to compare such data, and therefore, to identify unknown events occurring in the refrigerator that needed further investigation. .

  According to one embodiment, the remote server can provide an indication as to what the event is. For example, if additional power was required to freeze a sample, the server may indicate that the sample was larger than indicated in the selected predetermined refrigeration profile. . According to one embodiment, the server can alert the user. For example, most refrigerators include an alarm device that indicates to a user near the refrigerator when the door is left open. However, the remote server can also alert the user directly, such as to the user's mobile device when an event occurs in the refrigerator. These alerts can be visual alerts and / or audio alerts.

  Cryogenic freezing of a sample is usually only one step in processing a biological sample. FIG. 9 is a schematic diagram showing a brief overview of the processing of a biological sample. As shown in FIG. 9, in step S200, a sample is obtained. The sample is then frozen at a controlled rate in step S210 according to a predetermined refrigeration profile as described above. After freezing, the sample may need to be stored and / or transported to another location in step S220 before controlled thawing in step S230 and utilizing step S240. If it is necessary to transport to another location between freezing and thawing, the sample must be stored cryogenically during the transport. At all of these stages, maintaining the sample in a given state is important for sample integrity.

  The data recorded at each of these stages can be transferred to the remote server 130, as needed, continuously, periodically, or at the end of each stage in the process.

  For example, a controlled thawing of the sample can be performed using a thawing machine such as the Asymptote® VIA Thaw® machine. FIG. 10 is a schematic diagram showing the thawing machine 350. As can be seen from FIG. 10, the thawing machine 350 comprises a thawing chamber 370, such as a water tank, in which the sample 30 to be thawed can be placed, coupled to a heating unit 380. The defroster 350 also includes at least one memory 363, at least one user interface 363, at least one communication interface 365, at least one data storage 364, and at least one sensor 366, 367, 368,. , 36n, and at least one processor 361 coupled to the control module 360. Defroster 350 may include other components not shown.

  Memory 363 is a program memory that stores computer program code for controlling heating unit 380 to thaw sample 30 located in thawing chamber 370 as described herein, and is received or processed by processor 361. And working memory for storing data, programs, or instructions. Memory 363 and / or data storage 364 may include volatile memory, such as random access memory (RAM), used as temporary memory. Additionally or alternatively, memory 363 and data storage 364 may include non-volatile memory, such as flash memory, read-only memory (ROM), or electrically erasable programmable ROM (EEPROM).

  The processor 361 processes data (for example, data received from the sensors 366, 367, 368,..., 36n, a program, a command received from a user via the user interface 363, etc.), and outputs an output signal corresponding to the processing. May include processing logic to generate. Control module 360 may include any suitable circuitry or logic, such as a field programmable gate array (FPGA), a system-on-chip device, a microprocessor device, a microcontroller, and one or more integrated circuits. May include any one or more of the following: The control module 360 is coupled to the heating unit 380 for controlling the temperature of the thawing chamber 370.

  User interface 363 may be one or more of a computer screen, touch screen, keyboard, mouse, speaker, barcode scanner, fingerprint scanner, and the like.

  The communication module 365 can be configured to receive data or data signals from one or more external devices (such as a remote server described herein). The communication module 365 may be a communication interface or a communication unit. Communication module 365 can be configured to receive data via a wired or wireless network, such as the Internet. Communication module 365 may also be configured to transmit data or data signals to one or more external devices (eg, remote servers) via a wired or wireless network, such as the Internet.

  Data storage device 364 can be configured to store data from sensors 366, 367, 368,..., 36n. The data storage 364 can be coupled to at least one communication module 365 and at least one processor 361.

  The components of the control module 360 may be a combination of hardware components and software components, all may be software components, or all may be hardware components.

  Cryogenic thawing machines as shown in FIG. 10 thaw samples according to a thawing profile. For each sample, the respective thawing profile must be determined by a skilled scientist. As with the freezing profiles, each thawing profile is determined based on a number of factors, including the sample composition, sample size (weight), the amount of cryoprotection added to the sample before freezing, and the container containing the sample. Is done.

  The thawing profile is usually easier than the freezing profile, e.g. the temperature of the heating unit, the type of container, the size of the container (ml), and the temperature when the sample is placed on the thawing machine for thawing. Then, specify the "high temperature" warning, or how long to issue the "over time" warning when the sample is taking too long to thaw. According to one embodiment, the decompression profile is defined as a list of instructions. FIG. 11 is a diagram illustrating an exemplary decompression profile.

  FIG. 12 is a diagram illustrating an exemplary detected sample thawing temperature (solid line) along with heater temperature (dotted line).

  The thawing profile, regardless of format, includes a set of instructions input to the thawing machine that defines the rate of temperature rise of the sample during the thawing cycle. The thawing cycle starts at time t = 0 minutes when the sample is placed in the thawing machine. The thawing cycle ends when the sample reaches the desired temperature, which is most often slightly above the melting point of the sample.

  As described above, the defroster 350 includes at least one sensor 366, 367, 368, ..., 36n. One or more of these sensors 366, 367, 368,..., 36n includes a temperature sensor provided to monitor the temperature in the thawing chamber 370 during a thawing cycle. The temperature sensor also detects the temperature of the heating unit 380 during the thawing cycle. The detected temperature is stored in the data storage device 364 along with the position of the sensor and / or the sensor ID and the time at which the temperature was sensed.

  In addition to detecting the temperature inside the thawing machine during the thawing cycle, one or more sensors 366, 367, 368,..., 36n may be provided to detect the external temperature of the thawing machine during the thawing cycle. Additionally, detecting when the thawing machine door is open, detecting when the thawing machine door is closed, detecting the date and time when the door was opened and closed, and / or the time the door was open One or more sensors can be provided to detect the length of the.

  According to one embodiment, sensors 366, 367, 368,..., 36n perform detection continuously during a defrost cycle. According to another embodiment, sensors 366, 367, 368,..., 36n perform detection periodically during a defrost cycle.

  The sensor data detected by the sensors 366, 367, 368,..., 36n is related to the thawing of the sample by the thawing profile. The sensor data detected by the sensors 366, 367, 368,..., 36n includes the temperature at one or more locations in the thawing chamber during the thawing cycle, the temperature of the heating unit during the thawing cycle, and the temperature of the thawing machine during the thawing cycle. It may include one or more of the external temperature and the thaw door data, such as when the thaw door is opened and / or closed during the thaw cycle. For each detection, the date and time of detection is also recorded together with an index indicating the detected sensor.

  In addition to the sensor data detected by the sensors 366, 367, 368,..., 36n, the control module 360 can also detect and store other data relating to the thawing of the sample by the thawing profile. Other data may include defroster data, and / or sample data, and / or user data, and the like. The control module 360 may control the defroster identifier, defroster energy consumption (energy consumed by the defroster during the defrost cycle, and / or energy consumed by various components of the defroster during the defrost cycle), The location (e.g., the actual location of the thawing machine and / or the IP address of the thawing machine), whether an alert (e.g., a high sample temperature alert) has been activated on the thawing machine, and / or any action taken in response to the alert. Decompressor data such as alarm data of the decompressor such as whether or not it has been stored may be stored. The control module 360 includes a sample identifier, sample composition data (e.g., information regarding the sample composition), sample size / weight data (e.g., information regarding the sample size / weight), and sample container data (e.g., information regarding the sample container). ), The desired thawing profile, the thawing date of the sample (such as the date the sample was thawed according to the thawing profile), and the thawing time of the sample (such as the start time of the thawing cycle, the end time of the thawing cycle, and / or the duration of the thawing cycle). In some cases, sample data such as data may be stored. The control module 360 may store user data, such as a user identifier, a user observation described in more detail below.

  The sensor data detected by the sensor data 366, 367, 368,..., 36n, and the defroster data, and / or the sample data, and / or the user data are all related to the defrosting of the sample by the defrosting profile. Is of interest to the user. However, the user is not at the location of the thawing machine, for example, because the user requires data from multiple thawing machines or is conducting a clinical trial that requires data from multiple locations. There is also. Therefore, as shown in FIG. 6 and described above, the detection data of the decompressor can be transferred to the remote server 50 using the communication module 365.

  FIG. 13 is a schematic diagram illustrating a system for monitoring one or more defrosters. A plurality of decompressors 300, 301, 302,..., 30n are shown in FIG. Each of the plurality of decompressors 300, 301, 302,..., 30n may be provided at the same position as the other decompressors or may be provided at different positions. Further, each of the thawing machines 300, 301, 302, ..., 30n may be provided at the same position as the refrigerator or may be provided at a different position from the refrigerator. Each of the defrosters 300, 301, 302, ..., 30n can be operated by a human operator (users 320, 321, 322, ..., 32n). Further, each decompressor 300, 301, 302, ..., 30n is communicatively coupled to a remote server 130.

  Remote server 130 is communicatively coupled to at least one decompressor. According to one embodiment, the communication module 60 is used to connect a remote server to at least one decompressor via a network such as the Internet. This connection may be wired or wireless. The plurality of decompressors 300, 301, 302,..., 30n can exchange data with the remote server 130. For example, the plurality of decompressors 300, 301, 302,..., 30n can transmit data to the remote server 130, and the remote server 130 transmits data from the plurality of decompressors 300, 301, 302,. The received data can be received. Further, the remote server 130 can transmit data to the plurality of decompressors 300, 301, 302,..., 30n, and the plurality of decompressors 300, 301, 302,. Data can be received.

  According to one embodiment, the data transferred between the decompressor and the server is encrypted using, for example, a private / public key pair.

  As mentioned above, the thawing profile is predetermined by the skilled scientist. This predetermined thawing profile is provided to the remote server 130 along with criteria associated therewith, such as sample composition, sample size, amount of cryoprotectant added to the sample, type of container in which to place the sample, and the like. According to one embodiment, the remote server 130 transmits the predetermined decompression profile to a plurality of decompressors 300, 301, 302, ..., 30n. The predetermined decompression profile can be transmitted to these decompressors 300, 301, 302,..., 30n substantially simultaneously. Once the predetermined decompression profile is updated by a skilled scientist, an updated version of the predetermined decompression profile can be distributed from a remote server to multiple decompressors. The updated predetermined decompression profile can be transmitted to multiple decompressors substantially simultaneously.

  When a sample needs to be thawed on one of the thawers, a user 320, 321, 322,..., 32n at the thawer can use a user interface 363 such as a touch screen of the thawer. It is only necessary to select an appropriate predetermined decompression profile from a plurality of predetermined decompression profiles via. The users 320, 321, 322,..., 32n at the decompressor do not need to manually enter the predetermined decompression profile into the decompressor. The users 320, 321, 322, ..., 32n at the decompressor may be required to enter their user ID via the user interface 363 before using the decompressor. The user at the thawing machine can use the touch screen, use the barcode scanner when the sample ID is stored as a barcode, or use the sample ID stored as a QR code (registered trademark). In some cases, the user may be required to input a sample ID via the user interface 363 using an imaging device.

  As understood in the art, the actual thawing temperature achieved in each thawing machine may be different from a given thawing profile. Variations can result from a number of factors, such as the accuracy of sample preparation. For example, a given thawing profile may specify that thawing starts (as appropriate) from the temperature at which the sample is frozen and / or stored. However, the actual temperature of the sample when it is placed in the thawing machine may differ from the temperature specified in the thawing profile, because the actual sample begins to thaw the moment it is removed from the storage unit. There is. This is especially evident when the transfer of the sample from the storage device to the thawing machine is not instantaneous. For example, when a sample is kept at -196 ° C, thawing begins very quickly when the sample is removed from storage to room temperature before entering the thawing machine. Due to such a variation of the predetermined thawing profile from the designated standard, there is a possibility that the detected thawing data such as the sample temperature will be different from the predetermined thawing profile.

  When a predetermined thawing profile is selected in one of the plurality of thawing machines, and the sample is thawed according to the selected thawing profile, detection sensor data and thawing machine data related to the thawing of the sample by the predetermined thawing profile. , Sample data, and / or user data is transmitted from the defroster to the remote server 130. This data may be transmitted continuously from the decompressor to the remote server, as necessary, periodically, or at the end of the decompression cycle. Thus, the remote server can receive this data in near real time. Remote server 130 stores the received data in data storage device 56.

  The detected thawing data associated with thawing the sample according to the predetermined thawing profile can be transmitted from the thawing machine to the remote server 130 as a graph as shown in FIG. Alternatively, the detected thawing data associated with thawing the sample according to a predetermined thawing profile can be transmitted from the thawing machine to the remote server 130 as multiple data logs showing what actually happened during the thawing of the sample. . In another alternative, the detected thawing data associated with thawing the sample according to a predetermined thawing profile may be transmitted from the thawing machine to the remote server 130 as a graph (s) and / or a combination of multiple data logs. Can also.

  Upon receiving the plurality of detected data logs, the remote server 130 can generate an actual thaw graph from the plurality of data logs representing the thaw of the sample, such as the graph shown in FIG.

  Thereafter, the user 140 can access, at the remote server 130, the received data relating to the thawing of the sample according to the predetermined thawing profile. The server 130 may provide the user with one or more decompressors and / or data obtained from one or more decompression. For example, a clinical trial may involve thawing multiple samples (of the same type) on multiple different thawing machines, all using the same thawing profile. In this case, data relating to a plurality of decompressions in a plurality of different decompression machines can be presented to the user 140 in an easy-to-use format. For example, the remote server 130 can generate a “decompression consistency report” from the received data. The "Decompression Consistency Report" provides the received decompression data received from multiple decompressors in a single graph, and the user collectively refers to a range of various decompression devices and / or decompression, for example, The shortest thawing time, the longest thawing time, and the average thawing time can be easily compared. In addition, strict groupings may show very consistent performance, while large gaps may indicate that something was not well controlled. Further, if there is an abnormality in the received decompressed data, it can be easily specified by the user. The Decompression Consistency Report is also dropped so that the user can further refine the analysis, for example, to one thawing machine, one user, one thawing profile. A down filter may be provided. The ability to store data relating to a plurality of different thawings received from a plurality of different thawing machines is advantageous because a remote user can quickly identify the anomaly. This is particularly beneficial for users conducting clinical trials. Previously, in clinical trials, remote users did not receive the same amount of data, in some cases receiving no data for weeks after thawing and / or previously only providing detected temperature data Because it must have happened.

  According to one embodiment, the remote server 130 can annotate the received decompressed data with “observation”. FIG. 14 is a diagram showing the detected thawed sample temperature with observations annotated. Observations are generated based on data received from the defroster. For example, referring to FIG. 14, the observation is "the user has placed a vial." The observation "user placed vial" is determined from the received sensor data, such as when the thawing machine senses that a vial has been added.

  In addition, the operator of the defroster, ie, users 320, 321, 322,..., 32n, can create user observations and add annotations as user data. This annotation is also transferred from the decompressor to the remote server 130. For example, when thawing a biological sample as part of a clinical trial, users 320, 321, 322,..., 32n may observe the time, such as the time that the sample was thawed and then administered to the patient. May be added. These user observations are added via the user interface at the decompressor and transferred to the remote server 130. According to another embodiment, user observations may be added to remote server 130 via an application.

  The received sensor data, thawing machine data, sample data, and / or user data received at the remote server 130 and associated with thawing the sample according to a predetermined thawing profile may also be analyzed to check the thawing process. . For example, a given thawing profile may require about 500 joules of energy to complete thawing. Five of the thawing machines transfer data indicating that they have completed a given thawing profile using about 500 joules of energy, while one of the thawing machines uses 800 joules of energy. If data is transmitted indicating that a given decompression profile has been completed, it can be determined that an unknown event has occurred on that one decompressor and that further investigation is needed. Previously, it would not have been possible to compare such data, and thus, to determine that unknown events were taking place in the thawing machine that required further investigation. .

  FIG. 17 is a graph showing two different sets of detected response temperatures, both of which relate to thawing the sample with the same predetermined thawing profile. The two sets of different thawing temperatures were recorded by a temperature sensor at one thawing machine and received at the remote server 130. The solid line shows the temperature detected while thawing the sample with 10% DMSO aqueous solution, and the dashed line is detected while thawing the sample with the `` inaccurate '' mix of solution without DMSO added. Temperature. Due to the different rates of temperature rise and the much higher temperature plateau indicating the melting point of the solution, the `` inaccurate '' formulation solution deviates from the correct formulation, see the graph in FIG. Will be apparent to those skilled in the art. Being able to compare data from multiple different thawers, and / or data on multiple different thaws, is advantageous because incorrect inaccurate thawing can be quickly identified, which is due to the quality of those solutions. Can be used as management. Further, the data received by the server 130 can be referred to immediately after the decompression, and since the data is stored in the server, the data can be referred to again later.

  According to one embodiment, the remote server can provide an indication as to what deviates from a given decompression profile and / or between data detected using the same decompression profile. . For example, if the thawing temperature plateau is different, the remote server may indicate that the dispensing of the frozen stock solution was incorrect.

  According to one embodiment, the remote server may be able to alert the user. For example, the thawing machine may include an alarm that indicates to a user in the vicinity of the thawing machine if the loaded vial is too hot. However, the remote server may also be able to alert the user directly, such as alerting the user's mobile device when an event occurs on the defroster. These alerts can be visual alerts and / or audio alerts.

  Information such as further quality control information can be determined by performing a differential thermal analysis (DTA) on the detected data transmitted to the remote server. DTA can be performed on data received from freezers, thawers, and transport devices (described below). In the following example, data received from the refrigerator will be described. As described above, the refrigerator detects the sensor data (such as the detected temperature of the sample plate during the refrigeration cycle), and / or the refrigerator data (such as the voltage supplied to the refrigerator during the refrigeration cycle), and / or Transmit sample data (such as a selected predetermined freezing profile) and / or user data. For example, by integrating the detected power pole shown in FIG. 18, the energy required for the refrigeration cycle can be calculated.

  From the measured power / time curve of the sample refrigeration example shown in FIG. 18, the measured power consumed during the refrigeration cycle (solid line) can be related to the expected power removed from the sample during the refrigeration cycle (dashed line). After nucleation, during most of the phase change, the power to maintain a linear rate of temperature drop increases significantly (the power is shown as a solid line in FIG. 18), which is recorded and recorded on the remote server. Can be transmitted. Before nucleation and after most of the freezing, FIG. 18 shows that the measured power increases almost linearly over time. Thereby, a predicted power line indicated by a broken line is derived. However, it is known that the rate of heat removal from a sample (with constant mass and specific heat capacity) must be constant when the temperature is decreasing linearly before nucleation. This means that the near linear power before nucleation, combined with a constant `` reference '' rate of heat removal from the sample (dashed line in FIG. 18), is another linear increased power requirement for the refrigerator that feeds the plate itself. And must represent any losses in the system. The recorded power data profiles before and after this bulk ice formation (dashed line in FIG. 18) can easily be subtracted from the measured power removed from the sample (solid line in FIG. 18) and provide a direct indication of the change in heat release during freezing. An estimate can be obtained.

  To do this, for example, using the Simpson's formula, or any other suitable method apparent to those skilled in the art, the nucleation point where the two lines separate and the point where the two lines re-intersect Between the curves in FIG. 18 may be integrated.

  This data can be used to determine the total amount of ice formed, and if different from a predicted or separate control sample, one of skill in the art would be able to, for example, incorrectly determine the volume or composition of the frozen sample. It turns out that it is. In addition, the large increase in power recorded by the refrigerator and transmitted to the remote server is indicative of when the ice nucleated during the refrigeration cycle and at what temperature.

  Further, according to another example, the power recorded on the thawing machine and transmitted to the remote server during the thawing cycle can be used to determine the heat capacity of the solution, which can be compared to a known value. Quality control.

  Referring to FIG. 9, after freezing and before thawing, the sample may need to be stored and / or transported to another location. To facilitate tracking of each sample, each sample must have a unique identifier (sample code, such as a barcode, QR code, or an identification code that can be any combination of numbers and / or letters. ID). When the sample is frozen, the users 120, 121, 122, ..., 12n can input the sample ID in the refrigerators 100, 101, 102, ..., 10n. For example, when the sample ID is a barcode, the user may scan the barcode using a barcode scanner before freezing the sample. Then, the sample ID is related to the freezing of the sample by the predetermined freezing profile selected by the user 120, 121, 122, ..., 12n, and the predetermined freezing profile as described above, detection sensor data, refrigerator data, Link to sample data and / or user data.

  Further, when thawing the sample, the users 320, 321, 322, ..., 32n can input the sample ID in the thawing machines 300, 301, 302, ..., 30n. For example, when the sample ID is a barcode, the user may scan the barcode using a barcode scanner before thawing the sample. .., 32n, as well as detection sensor data, decompressor data relating to the thawing of the sample by the predetermined thawing profile as described above, Link to sample data and / or user data.

  The remote server user 140 can retrieve all entries associated with a particular sample ID. The user 140 can then track the sample from freezing to thawing.

  The remote server can transmit the predetermined transport profile to a transport device that transports (and stores) the cryogenically frozen sample to a different location. As with the thawing profile, the transport profile is usually easier than the frozen profile, e.g., the temperature at which the sample is stored, the type of container, the size of the container (ml), the minimum and maximum humidity of the sample, the minimum humidity of the sample, g-force and maximum-g-force, a high temperature warning at a certain temperature, a low temperature warning at a certain temperature, or how long a sample is stored for too long. Specify whether to issue a "time over" warning by time, and so on. According to one embodiment, the transport profile is defined as a list of instructions.

  The user at the transport device need only select an appropriate predefined transport profile from a plurality of predefined transport profiles via a user interface 14, such as a touch screen of the transport device. A user at the transport device may be required to enter his or her user ID via the user interface 14 before using the transport device. A user at the transport device may be required to enter a sample ID via the user interface 14, such as using a barcode scanner, before using the transport device.

  The remote server can also receive data from a transport device that stores and transports the cryogenically frozen sample. FIG. 15 is a schematic diagram showing a cryogenic transport device 500. The cryogenic transport device 500 includes a portable power source 550, such as a battery, and / or may be connected to a power source provided on a transport vehicle.

  As can be seen from FIG. 15, the transport device 500 comprises a storage room 570 in which the sample 30 is arranged, coupled to the heating unit 580 and the heat removal unit 590. The storage device is required to keep the sample at a constant temperature. The transport device 500 also includes at least one memory 562, at least one user interface 563, at least one communication interface 565, at least one data storage 564, and at least one sensor 566, 567, 568,. , 56n, and at least one processor 561 coupled to the at least one position detection module 540. The transport device 500 may include other elements not shown.

  The memory 563 includes a program memory that stores computer program codes for controlling the heating unit 580 and the heat removing unit 590 so as to maintain the sample 30 at a constant temperature in the storage room 570, and data that the processor 561 receives or processes. , A program, or a working memory for storing instructions. Memory 563 and / or data storage 564 may include volatile memory, such as random access memory (RAM), used as temporary memory. Additionally or alternatively, memory 563 and data storage 564 may include non-volatile memory, such as flash memory, read-only memory (ROM), or electrically erasable programmable ROM (EEPROM).

  Processor 561 processes data (eg, sensors 566, 567, 568,..., 56n, data received from position detection module 540, programs, instructions received from a user via user interface 563, etc.), and It may include processing logic to generate a corresponding output signal. Control module 560 may include any suitable circuitry or logic, such as a field programmable gate array (FPGA), a system-on-chip device, a microprocessor device, a microcontroller, and one or more integrated circuits. May include any one or more of the following: Control module 560 is coupled to heating unit 580 and heat removal unit 590 to control the temperature in storage room 570.

  User interface 563 can be one or more of a computer screen, touch screen, keyboard, mouse, speaker, barcode scanner, fingerprint scanner, and the like.

  The communication module 565 can be configured to receive data or data signals from one or more external devices (such as a remote server described herein). The communication module 565 may be a communication interface or a communication unit. The communication module can be configured to receive data via a wired or wireless network, such as the Internet. The communication module can also be configured to transmit data or data signals over a wired or wireless network, such as the Internet, to one or more external devices (such as a remote server).

  Data storage 564 can be configured to store data from sensors 566, 567, 568,..., 56n and location module 540. Data storage device 564 can be coupled to at least one communication module 565 and at least one processor 561.

  The location module 540 can be any device that can detect the location of the transport device 500, such as a GPS location device.

  The components of the control module 560 may be a combination of hardware components and software components, all may be software components, or all may be hardware components.

  As described above, the transport device 500 includes at least one sensor 566, 567, 568, ..., 56n. One or more of these sensors 566, 567, 568,..., 56n include temperature sensors provided to monitor the temperature in storage 570 during transport. The detected temperature is stored in the data storage device 564 together with the sensor ID and the time at which the temperature was sensed.

  In addition to detecting the temperature inside the transport device during storage, one or more sensors 566, 567, 568,..., 56n may be provided to detect the external temperature of the transport device 500. Further, detecting when the door of the transport device 500 is open, detecting when the door of the transport device 500 is closed, detecting the date and time when the door is opened and closed, and / or detecting that the door is open One or more sensors may also be provided to detect the length of time spent. Further, one or more of the sensors 566, 567, 568,..., 56n may include a g-force sensor provided to detect a g-force applied to the transport device 500 during transport. Further, one or more of the sensors 566, 567, 568,..., 56n may include humidity sensors provided to detect internal and / or external humidity of the transport device 500 during transport. Further, one or more of the sensors 566, 567, 568,..., 56n may detect the orientation of the transport device 500. Further, one or more of the sensors 566, 567, 568,..., 56n may detect the power supply of the transport device 500, for example, when the transport device 500 is connected to the vehicle power supply, Detects when the device 500 needs power from the portable power supply 550 or when the transport device 500 is out of power (for example, when the portable power supply 550 has only 20% power remaining) Sometimes.

  According to one embodiment, sensors 566, 567, 568,..., 56n provide continuous detection during transport. According to another embodiment, the sensors 566, 567, 568,..., 56n detect periodically during transport.

  The sensor data detected by the sensors 566, 567, 568,..., 56n is related to sample transport according to the sample transport profile data. The transport sensor data detected by the sensors 566, 567, 568,..., 56n includes the temperature in the storage room, the external temperature of the transport device, when the door of the transport device is opened and / or closed during storage. And may include one or more of transport device door data such as, g-force on the transport device, transport device orientation, transport device internal and / or external humidity, power connections, and battery life. For each detection, the date and time of detection is also recorded together with an index indicating the detected sensor.

  In addition to the sensor data detected by the sensors 566, 567, 568,..., 56n, the control module 560 can also detect and store other data related to sample transport. Other data may include transport device data, and / or sample data, and / or user data, and the like. The control module 560 may include an identifier for the transport device, energy consumption of the transport device (e.g., energy consumed by the transport device during storage, and / or energy consumed by various components of the transport device during storage), location of the transport device. The transport device, such as (for example, the actual location of the transport device, such as GPS coordinates), whether an alert was triggered on the transport device (for example, a sample high temperature alert, and whether any action was taken in response to the alert, etc.). Transport device data such as alarm data, power of the transport device, and the amount of power available to the transport device (for example, remaining battery power). The control module 560 includes a sample identifier, information on the composition of the sample, information on the size / weight of the sample, information on the container of the sample, predetermined freezing profile, predetermined shipping profile data, predetermined thawing profile, freezing date of the sample, etc. May be stored. The control module 560 may store user data, such as a user identifier and a user observation.

  The data detected by the sensors 566, 567, 568,..., 56n, as well as other data, are all related to the transport of the sample and have been described above in FIG. 6 via the communication module 565 of the transport device. Can be transferred to such a remote server 50.

  FIG. 16 is a schematic diagram illustrating a remote system for monitoring one or more devices used for cryogenic processing of a sample. As shown in FIG. 16, the remote server 130 receives data related to freezing of the sample from the refrigerator 10n, receives data related to storage of the sample from the storage device 420, and receives the data from the transport device 440 when transporting the sample to a different position. It is configured to receive data related to storage / transportation of a sample and to receive data related to thawing of a sample from the thawing machine 30n. The data recorded at each of these devices can be transmitted to a remote server, as needed, continuously, periodically, or at the end of each step in the process. Although only one refrigerator 10n, storage device 420, transport device 440, and thawer 30n are shown in FIG. 16, the remote server 130 includes a plurality of refrigerators 10n, a plurality of storage devices 420, and a plurality of storage devices 420. It can be in communication with the transport device 440 and the plurality of defrosters 30n.

  Remote server 130 is communicatively coupled to at least one transport device 440. According to one embodiment, the communication module 60 is used to connect a remote server to at least one transport device 440 via a network such as the Internet. This connection may be wired or wireless. The plurality of transport devices can exchange data with the remote server 130. For example, the plurality of transport devices can transmit data to a remote server 130, and the remote server 130 can receive data transmitted from the plurality of transport devices. Further, the remote server 130 can also transmit data to the plurality of transport devices, and the plurality of transport devices can also receive the data transmitted from the remote server 130.

  According to one embodiment, data transferred between the transport device and the server is encrypted using, for example, a private / public key pair.

  Transport profiles are predetermined by skilled scientists. This predetermined transport profile is provided to the remote server 130 along with criteria associated therewith, such as sample composition, sample size, amount of cryoprotectant DMSO added to the sample, type of container in which to place the sample, and the like. According to one embodiment, the remote server 130 transmits the predetermined transport profile to a plurality of transport devices. A given transport profile can be transmitted to these multiple transport devices substantially simultaneously. When the predetermined transport profile is updated by a skilled scientist, an updated version of the predetermined transport profile can be distributed from a remote server to the plurality of transport devices. The updated predetermined transport profile can be transmitted to multiple transport devices at substantially the same time.

  When a sample needs to be transported, the user at the transport device simply selects an appropriate predefined transport profile from a plurality of predefined transport profiles via a user interface 563, such as a touch screen of the transport device. Is fine. The user at the transport device does not need to manually enter the predetermined refrigeration profile into the transport device. A user at the transport device may be required to enter his or her user ID via the user interface 563 before using the transport device. Before using the transport device, the user at the transport device can use a touch screen, use a barcode scanner when the sample ID is stored as a barcode, or use a QR code When stored as (registered trademark), the user may be required to input a sample ID via the user interface 563 by using an imaging device or the like.

  As understood in the art, the actual detected transport data may differ from a given transport profile.

  When a predetermined transport profile is selected at the transport device and the sample is transported according to the selected transport profile, detection sensor data, transport device data, sample data, and / or related to transport of the sample according to the predetermined transport profile. User data is transmitted from the transport device to the remote server 130. This data can be transmitted from the transport device to a remote server, continuously or periodically, as needed. Thus, the remote server can receive this data in near real time. Remote server 130 stores the received data in data storage device 56.

  Detected transport data related to transport of the sample according to the predetermined transport profile can be transmitted from the transport device to the remote server 130 as a graph. Alternatively, the detected transport data relating to the transport of the sample according to the predetermined transport profile can be transmitted from the transport device to the remote server 130 as a plurality of data logs indicating what actually happened during the transport of the sample. . In another alternative, the detected transport data related to transport of the sample according to a predetermined transport profile may be transmitted from the transport device to the remote server 130 as a graph (s) and / or a combination of multiple data logs. Can also.

  Upon receiving the plurality of detected data logs, the remote server 130 can generate an actual transport graph from the plurality of data logs representing transport of the sample by the transport device.

  The user 340 can then access, at the remote server 130, the received data relating to transporting the sample according to the predetermined transport profile. The server 130 may provide a user with data obtained from one or more transport devices and / or one or more transports. Data relating to multiple transports by multiple different transport devices can be presented to the user 340 in an easy-to-use format.

  The refrigerator / thawer / transport device transmits data to a remote server via the Internet. According to one embodiment, the refrigerator / thawer / transport device holds the data in a local data store until receipt of the data by the remote server is confirmed. This ensures that the data will not be deleted until it is securely stored on a remote server, eg, data storage device 56. The refrigerator / thawer / transport device can then delete that data if needed. Whether the data transmitted by the refrigerator / thawer / transport device is deleted depends on the size of the data storage device provided in the refrigerator / thawer / transport device. According to one embodiment, the data is deleted after being stored at the refrigerator / thawer / transport device for a predetermined period of time, such as one week, one month, one year, and the like.

  Thereafter, the user 140 can view the data received from the remote server 130. The user 140 can also search for data based on criteria such as refrigerator ID, refrigeration profile, sample ID, and thawing ID. For example, when testing a given refrigeration profile, the results obtained by one refrigerator and / or one user are better than others, or one refrigerator is always larger than another refrigerator May be found to produce a frozen profile that deviates from the profile of In that case, the user 140 may further investigate the refrigerator, for example, it may appear that the refrigerator is not functioning properly. However, unless the refrigerator results can be compared to other refrigerators, this malfunction should not be immediately apparent.

  The ability to compile data from multiple devices and samples, as well as filter and organize the data, allows us to perform further analysis that was not possible before or was impractical, so the usefulness of the data Increase. The server may also be used to generate reports and / or graphs as needed by the user 140, as described above.

  Because server 130 is connected to the Internet, server user 140 does not need to be at server 130 to access data. This is particularly useful when clinical trials are being performed at multiple different locations. Data for each process (ie, freeze / store / transport / thaw, etc.) can be transferred in near real time to the user conducting the test.

  An example of a report generated by a remote server is that anomalies use data from multiple freezes (those using the same predetermined thawing profile) or multiple thawings (those using the same predetermined thawing profile). It is a report that is presented in a way that is clear to the public. According to one embodiment, data from multiple freezes or multiple answers is provided in the same time versus temperature graph so that the anomaly is clearly visible to the user.

  The user 140 can select a group for which each report is to be generated. For example, a user may select a plurality of refrigerators selected using a refrigerator ID, a plurality of thawing machines selected using a thawing machine ID, and a plurality of refrigeration selected using a predetermined refrigeration profile. , A plurality of samples selected using the user ID and the sample ID can be selected. Also, the user 340 can select a group for which to generate each report based on the country in which the machine selected by the position ID is based, or a device ID (refrigerator ID, Select all devices owned by a particular country using the thawing machine ID, transport device ID, etc., or use the device ID (chiller ID, thawing machine ID, transport device ID, etc.) It is also possible to select all devices involved in a particular test.

  Further, selecting a group of devices to receive each particular profile, since the remote server provides the refrigerator, thawer, and / or transport device with a predetermined freeze, thaw, and / or transport profile. It is also possible to receive different profiles / versions of different profiles for different devices based on criteria selected by the user. For example, devices belonging to the same company may receive a first predetermined profile, and all devices belonging to different companies may receive different predetermined profiles.

  In addition, the user can create rules that apply to individual devices, all devices, or a subset of devices, as required by the user. One example of a pre-defined rule on such a remote server is that the thawing machine determines from the temperature data that the sample is too hot when loaded and generates an alarm locally at the thawing machine. In some cases, the rule may be that the remote server also has an associated alert, so that the user creates a task to view this log. Examples of other rules include that if a frozen or thawed log lacks information such as details of the sample being processed, the remote server may create a task for the user to add this information. E-mail a summary of the previous week's device log to a specific user at a set time each week, or if any decompression is stopped or failed by decompressor A, B, or C There is a method of immediately sending an e-mail to the user Y to warn the user Y.

  According to another embodiment, the remote server may also transmit the instructions to the refrigerator / thawer / transport device as needed. For example, the remote server may send a command to the refrigerator to begin cooling early in the morning so that the operator can use it when working.

  According to another embodiment, the remote server can also generate and transmit alerts such as door open, hot / cold, etc. The device may have an active alarm. However, the server may also generate an alert and transmit the alert to the user, for example, via the user's mobile device. The user's response to the alert, such as the user canceling the action or the user disabling the alarm, can also be recorded.

  According to another embodiment, a remote server may be used to prompt a user at the refrigerator / thaw to perform a task. For example, after the sample has been thawed, the user may be prompted from a remote server to remove the sample from the thawing machine. This may be in addition to the alert set on the refrigerator / thaw.

  According to another embodiment, a user at the remote server may use, for example, a web browser to add observations and / or annotate observations with respect to the received thaw, freeze, or transport data logs. You can also interact with the remote server via the page. For example, after investigating an anomaly, a user may add observations that explain the anomaly.

  According to another embodiment, the remote server can also generate the invoice. For example, after unpacking a sample for use, the remote server generates an invoice from the sample manufacturer to the sample user.

  One skilled in the art will appreciate that the technology can be implemented as a system, method, or computer program product. Thus, the technology may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware.

  Furthermore, the present technology may take the form of a computer program product embodied on a computer readable medium having computer readable program code embodied thereon. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer-readable medium includes, but is not limited to, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any of these. May be a suitable combination of

  Computer program code for performing the operations of the present technology can be written in any combination of one or more programming languages, such as an object-oriented programming language and a conventional procedural programming language.

  For example, program code for performing the operations of the present technology may be C, assembly code, code for setting up or controlling an ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array), or Verilog® ) Or may include source, objects, or executable code in a traditional programming language (interpreted or compiled), such as code for hardware description such as VHDL (Very High Speed Integrated Circuit Hardware Description Language) .

  A code component can be implemented as a procedure, or a method, and can be implemented at any level of abstraction or at any level of abstraction, from direct machine instructions in the native instruction set to high-level compiled or interpreted language components. It may also include sub-components, which may take the form of a sequence.

  Also, all or part of a logical method according to a preferred embodiment of the present technology can be suitably implemented in a logic device that includes a logical element that performs the steps of the method, and such a logical element can It will also be apparent to those skilled in the art that it may include components such as programmable logic arrays or logic gates in application specific integrated circuits. Such a logical arrangement may further comprise implementing the logical structure in an array or circuit as described above using, for example, a virtual hardware descriptor language that may be stored and transmitted using a fixed or transmittable carrier medium. It can also be implemented when enabling temporarily or permanently established elements.

  In one alternative, embodiments of the present technology may be implemented on a computer infrastructure or network, and a computer operable to cause the computer system or network to perform all steps of the method when executed on the computer infrastructure or network. It can also be implemented in the form of a computer-implemented method for introducing a service that includes the step of introducing program code.

  In another alternative, a preferred embodiment of the present technology is a functional computer data structure that enables a computer system to perform all the steps of the method when activated by a computer system or network loaded therewith. It can also be realized in the form of a data carrier having function data including

  It will be apparent to those skilled in the art that many improvements and modifications can be made to the exemplary embodiments described above without departing from the scope of the present technology.

1 Refrigerator
10 Control module
12 processors
14 User interface
16 Data storage
18 memory
20, 22, 24,…, n sensors
26 Communication module, communication interface
28 Freezer compartment
30 samples
32 Heat removal unit
50 servers
52 processor
54 working memory
56 Data Storage
58 memorized program memory
60 Communication module
100 refrigerator
110 Sample A
120 users
130 servers
140 users
350 thawing machine
360 control module
361 processor
362 memory
363 User Interface
364 Data Storage
365 communication module, communication interface
366, 367, 368,…, 36n sensor
370 Freezer
380 heating unit
500 transport devices
540 position detection module
550 portable power supply
560 control module
561 processor
562 memory
563 User Interface
564 Data Storage
565 Communication module, communication interface
566, 567, 568,…, 56n sensors
570 Storage Room
580 heating unit
590 Heat removal unit

Claims (261)

At least one thawing machine for thawing the sample;
A remote server remote from the thawer, the remote server configured to transmit sample thaw profile data to the at least one thawer;
A system for remotely monitoring cryogenic processing of a sample, comprising:
The at least one thawing machine comprises at least one sensor, wherein the at least one sensor is configured to detect thawing sensor data related to thawing the sample according to the sample thawing profile data;
The system, wherein the remote server is further configured to receive the detected defrost sensor data from the at least one defroster. The at least one thawing machine further comprises a control module, wherein the control module relates to at least one of thawing machine data, sample thawing data, and user data related to thawing the sample according to the sample thawing profile data. Configured to detect one
The system of claim 1, wherein the remote server is further configured to receive the detected thawing data, sample thawing data, and / or user data from the thawing machine.   The system of claim 1 or 2, wherein the remote server is further configured to transmit an update of the sample thawing profile data to the at least one thawing machine.   4. The remote server of claim 1, wherein the remote server is configured to receive the detected data from the at least one decompressor continuously, periodically, or at the end of a defrost cycle. The system according to paragraph.   5. The system according to any of the preceding claims, wherein the remote server is configured to generate an actual decompression graph from the detected data received from the at least one decompressor.   The system according to claim 1, wherein the remote server is configured to compare the sample thawing profile with the detected data received from the at least one thawing machine.   The system of claim 5, further comprising a plurality of decompressors, wherein the remote server is configured to compare the actual decompression graphs generated for the plurality of decompressors.   The system according to any one of claims 1 to 7, further comprising a plurality of decompressors, wherein the remote server is configured to compare the detected data received from the plurality of decompressors.   8. The method of claim 1, further comprising a plurality of defrosters, wherein the remote server is configured to compare the detected data received from a group of defrosters selected from the plurality of defrosters. A system according to claim 1.   The thawing sensor data includes at least one temperature in a thawing chamber of the at least one thawing machine during a thawing cycle, a temperature of a heating unit of the at least one thawing machine during a thawing cycle, the at least one thawing during a thawing cycle. 10. The system according to any one of the preceding claims, comprising one or more of external temperature at the machine, thawing machine door data.   The thawing machine data comprises one or more of a thawing machine identifier, a thawing machine energy consumption during a thawing cycle, a thawing machine position, a thawing machine alert data. System.   The method of claim 2, wherein the sample thawing data comprises one or more of: sample identifier, sample composition data, sample size data, sample container data, sample thawing profile data, sample thawing date, sample thawing. A system according to any one of the preceding claims. The at least one thawing machine comprises a user interface, the user interface configured to receive user input related to thawing the sample according to the sample thawing profile data;
The system according to claim 1, wherein the remote server is further configured to receive the user input. Further comprising at least one cryogenic refrigerator for freezing the sample,
The remote server is further configured to be located remotely from the refrigerator and to transmit sample freezing profile data to the at least one cryogenic refrigerator;
Wherein the at least one refrigerator comprises at least one sensor, wherein the at least one sensor is configured to detect refrigerator sensor data related to freezing the sample according to the sample freezing profile data;
14. The system according to any one of the preceding claims, wherein the remote server is further configured to receive the detected refrigerator sensor data from the at least one refrigerator. The at least one refrigerator further comprises a control module, wherein the control module relates to at least one of refrigerator data, sample freezing data, and user data related to freezing the sample according to the sample freezing profile data. Configured to detect one
15. The system of claim 14, wherein the remote server is further configured to receive the detected refrigerator data, sample refrigerator data, and / or user data from the refrigerator.   16. The system of claim 14 or 15, wherein the remote server is further configured to transmit an update of the sample freezing profile data to the at least one cryogenic refrigerator.   17. The remote server of any one of claims 14 to 16, wherein the remote server is configured to receive the detected data from the at least one refrigerator continuously, periodically, or at the end of a refrigeration cycle. The system according to paragraph.   18. The system according to any one of claims 14 to 17, wherein the remote server is configured to generate an actual refrigeration graph from the detected data received from the at least one cryogenic refrigerator.   19. The system according to any one of claims 14 to 18, wherein the remote server is configured to compare the sample freezing profile with the detected data received from the at least one refrigerator.   19. The system of claim 18, further comprising a plurality of chillers, wherein the remote server is configured to compare the actual refrigeration graphs generated for the plurality of chillers.   21. The system of any one of claims 14 to 20, further comprising a plurality of refrigerators, wherein the remote server is configured to compare the detected data received from the plurality of refrigerators.   21. The method of claim 14, further comprising a plurality of refrigerators, wherein the remote server is configured to compare the detected data received from a group of refrigerators selected from the plurality of refrigerators. A system according to claim 1.   The refrigerator sensor data includes at least one temperature in a freezing chamber of the at least one refrigerator during a refrigeration cycle, a temperature of the sample during a refrigeration cycle, an external temperature at the at least one refrigerator during a refrigeration cycle, and freezing. 23. The system according to any one of claims 14 to 22, comprising one or more of machine door data.   The refrigerator data according to any one of claims 15 to 23, wherein the refrigerator data includes one or more of a refrigerator identifier, refrigerator energy consumption during a refrigerating cycle, a refrigerator position, and refrigerator alarm data. System.   The sample freezing data of claim 15, wherein the sample freezing data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample freezing date, sample freezing time, A system according to any one of the preceding claims. The at least one refrigerator comprises a user interface, the user interface configured to receive user input related to freezing the sample according to the sample freezing profile data;
26. The system according to any one of claims 14 to 25, wherein the remote server is further configured to receive the user input. Further comprising at least one transport device for transporting the sample,
The remote server is further configured to be located remotely from the transport device and to transmit sample transport profile data to the at least one transport device;
The at least one transport device comprises at least one sensor, the at least one sensor configured to detect transport sensor data related to transport of the sample according to the sample transport profile data;
27. The system of any of the preceding claims, wherein the remote server is further configured to receive the detected transport sensor data from the at least one transport device. The at least one transport device further comprises a control module, wherein the control module relates to transport of the sample according to the sample transport profile data, at least one of transport device data, sample transport data, and user data. Configured to detect one
28. The system of claim 27, wherein the remote server is further configured to receive the detected transport device data, sample transport data, and / or user data from the transport device.   29. The system of claim 27 or 28, wherein the remote server is further configured to transmit an update of the sample transport profile data to the at least one cryogenic transport device.   30. The system of any one of claims 27 to 29, wherein the remote server is configured to continuously or periodically receive the detected data from the at least one transport device.   31. The system of any one of claims 27 to 30, wherein the remote server is configured to generate an actual transport graph from the detected data received from the at least one transport device.   32. The system of any one of claims 27 to 31, wherein the remote server is configured to compare the sample transport profile with the detected data received from the at least one transport device.   32. The system of claim 31, further comprising a plurality of transport devices, wherein the remote server is configured to compare the actual transport graph generated for the plurality of transport devices.   34. The system of any one of claims 27 to 33, further comprising a plurality of transport devices, wherein the remote server is configured to compare the detected data received from the plurality of transport devices.   34. The method of any of claims 27 to 33, further comprising a plurality of transport devices, wherein the remote server is configured to compare the detected data received from a group of transport devices selected from the plurality of transport devices. A system according to claim 1.   Wherein the transport sensor data is at least one temperature in a storage room of the at least one transport device during transport, an external temperature at the at least one transport device, a transport device door data, a g-force at the at least one transport device, the The method according to any one of claims 27 to 35, comprising one or more of an orientation of a transport device, internal and / or external humidity at the at least one transport device, power connection data, battery life data. System.   37. The system of any one of claims 28-36, wherein the transport device data comprises one or more of transport device identifiers, transport device energy consumption data, transport device location data, transport device alert data. .   The sample transport data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample transport profile data, sample thawing profile data, sample transport date, A system according to any one of claims 28 to 37. The at least one transport device comprises a user interface, the user interface configured to receive user input related to transport of the sample according to the sample transport profile data;
39. The system of any one of claims 27 to 38, wherein the remote server is further configured to receive the user input.   40. The system of any of the preceding claims, wherein the remote server is configured to generate an observation based on the detected data.   41. The system of any one of claims 1 to 40, wherein the remote server is configured to generate an alert based on the detected data.   42. The system according to any of the preceding claims, wherein the user data comprises a user identifier. A method for remotely monitoring cryogenic processing of a sample, comprising:
Transmitting sample thawing profile data from a remote server to at least one thawing machine;
Thawing the sample in the at least one thawing machine according to the sample thawing profile data;
Detecting at the at least one thawing machine thawing sensor data related to thawing the sample according to the sample thawing profile data;
Receiving, at the remote server, the detected decompression sensor data from the at least one decompressor. Detecting at least one of thawing machine data, sample thawing data, and user data related to thawing the sample according to the sample thawing profile data at the at least one thawing machine;
Receiving, at the remote server, the detected thawing machine data, sample thawing data, and / or user data from the at least one thawing machine;
44. The method of claim 43, further comprising:   45. The method of claim 43 or claim 44, further comprising transmitting an update of the sample thawing profile data from the remote server to the at least one thawing machine.   46. The method of any one of claims 43 to 45, further comprising receiving the detected data from the at least one defroster continuously, periodically, or at the end of a defrost cycle.   47. The method according to any one of claims 43 to 46, further comprising at the remote server generating an actual decompression graph from the detected data received from the at least one decompressor.   48. The method of any of claims 43-47, further comprising comparing, at the remote server, the sample thawing profile data with the detected data received from the at least one thawing machine. The at least one thawing machine comprises a plurality of thawing machines, wherein the method comprises:
48. The method of claim 47, further comprising comparing, at the remote server, the actual decompression graphs generated for the plurality of decompressors. The at least one thawing machine comprises a plurality of thawing machines, wherein the method comprises:
50. The method of any one of claims 43 to 49, further comprising comparing at the remote server the detected data received from the plurality of decompressors. The at least one thawing machine comprises a plurality of thawing machines, wherein the method comprises:
51. The method of any one of claims 43 to 50, further comprising comparing at the remote server the detected data received from a group of defrosters selected from the plurality of defrosters.   The thawing sensor data includes at least one temperature in a thawing chamber of the at least one thawing machine during a thawing cycle, a temperature of a heating unit of the at least one thawing machine during a thawing cycle, the at least one thawing during a thawing cycle. 52. The method of any one of claims 43 to 51, comprising one or more of external temperature at the machine, thawing machine door data.   53.The thawer data according to any one of claims 44-52, wherein the thawer data comprises one or more of a thawer identifier, a thawer energy consumption during a thaw cycle, a thawer location, a thawer alert data. the method of.   54.The sample thawing data of claim 44-53, wherein the sample thawing data comprises one or more of sample identifier, sample composition data, sample size data, sample container data, sample thawing profile data, sample thawing date, sample thawing time. A method according to any one of the preceding claims. Receiving at the at least one thawing machine user input related to thawing the sample according to the sample thawing profile data;
Receiving the user input at the remote server. Transmitting sample freezing profile data from the remote server to at least one cryogenic refrigerator;
In the at least one cryogenic refrigerator, freezing the sample according to the sample freezing profile data,
In the at least one cryogenic refrigerator, detecting refrigerator sensor data related to freezing the sample according to the sample freezing profile data,
Receiving at the remote server the detected refrigerator sensor data from the at least one refrigerator. 55. The method of claim 43, further comprising: In the at least one cryogenic refrigerator, related to freezing the sample according to the sample freezing profile data, detecting at least one of refrigerator data, sample freezing data, and user data,
Receiving said detected chiller data, sample refrigeration data and / or user data from said at least one chiller at said remote server.   58. The method of claim 56 or 57, further comprising transmitting an update of the sample freezing profile data from the remote server to the at least one cryogenic refrigerator.   The method according to any one of claims 56 to 58, further comprising receiving the detected data from the at least one cryogenic refrigerator continuously, periodically, or at the end of a refrigeration cycle. Method.   60. The method of any one of claims 56-59, further comprising at the remote server generating an actual refrigeration graph from the detected data received from the at least one cryogenic refrigerator.   61. The method of any one of claims 56 to 60, further comprising comparing at the remote server the sample freezing profile with the detected data received from the at least one cryogenic refrigerator. The at least one cryogenic refrigerator includes a plurality of refrigerators, wherein the method comprises:
61. The method of claim 60, further comprising comparing, at the remote server, the actual refrigeration graphs generated for the plurality of chillers. The at least one cryogenic refrigerator includes a plurality of refrigerators, wherein the method comprises:
63. The method of any one of claims 56-62, further comprising comparing, at the remote server, the detected data received from the plurality of refrigerators. The at least one cryogenic refrigerator includes a plurality of refrigerators, wherein the method comprises:
63. The method of any one of claims 56 to 62, further comprising comparing at the remote server the detected data received from a group of refrigerators selected from the plurality of refrigerators.   The refrigerator sensor data includes at least one temperature in a freezing chamber of the at least one refrigerator during a refrigeration cycle, a temperature of the sample during a refrigeration cycle, an external temperature at the at least one refrigerator during a refrigeration cycle, and freezing. 65. The method of any one of claims 56-64, comprising one or more of machine door data.   The chiller data includes one or more of a chiller identifier, chiller energy consumption during a refrigeration cycle, a chiller location, and chiller alarm data, wherein the chiller data comprises one or more of the following: the method of.   67.The sample freezing data of claim 57-66, wherein the sample freezing data comprises one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample freezing date, sample freezing time. A method according to any one of the preceding claims. Receiving, at the at least one refrigerator, a user input related to freezing the sample according to the sample freezing profile data;
68. The method of any one of claims 56-67, further comprising receiving the user input at the remote server. Transmitting sample transport profile data from the remote server to the at least one transport device;
Transporting the sample in the at least one transport device according to the sample transport profile data;
Detecting at the at least one transport device transport sensor data related to transport of the sample according to the sample transport profile data;
At the remote server, receiving the detected transport sensor data from the at least one transport device. Detecting at the at least one transport device at least one of transport device data, sample transport data, and user data related to transport of the sample according to the sample transport profile data;
Receiving said detected transport device data, sample transport data, and / or user data from said at least one transport device at said remote server.   71. The method of claim 69 or 70, further comprising transmitting an update of the sample transport profile data from the remote server to the at least one cryogenic transport device.   72. The method of any one of claims 69-71, further comprising receiving, at the remote server, the detected data continuously or periodically from the at least one transport device.   73. The method of any one of claims 69-72, further comprising at the remote server generating an actual transport graph from the detected data received from the at least one transport device.   74. The method of any one of claims 69-73, further comprising comparing, at the remote server, the sample transport profile data with the detected data received from the at least one transport device. The at least one transport device includes a plurality of transport devices, and the method comprises:
74. The method of claim 73, further comprising comparing, at the remote server, the actual transport graph generated for the plurality of transport devices. The at least one transport device includes a plurality of transport devices, and the method comprises:
77. The method of any one of claims 69-75, further comprising comparing at the remote server the detected data received from the plurality of transport devices. The at least one transport device includes a plurality of transport devices, and the method comprises:
77. The method of any one of claims 69-76, further comprising comparing at the remote server the detected data received from a group of transport devices selected from the plurality of transport devices.   Wherein the transport sensor data is at least one temperature in a storage room of the at least one transport device during transport, an external temperature at the at least one transport device, a transport device door data, a g-force at the at least one transport device, the 78.The method of any one of claims 69-77, comprising one or more of: transport device orientation, internal and / or external humidity at the at least one transport device, power connection data, battery life data. the method of.   79. The method of any one of claims 70-78, wherein the transport device data comprises one or more of a transport device identifier, transport device energy consumption data, transport device location data, transport device alert data. .   The sample transport data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample transport profile data, sample thawing profile data, sample transport date, The method according to any one of claims 70 to 79. Receiving at the at least one transport device a user input related to transport of the sample according to the sample transport profile data;
Receiving the user input at the remote server.   At the remote server, further comprising generating an observation based on the detected data received from the at least one refrigerator and / or the at least one thawer and / or the at least one transport device. A method according to any one of claims 43 to 81.   Further comprising, at the remote server, generating an alert based on the detected data received from the at least one refrigerator and / or the at least one thawer and / or the at least one transport device. 83. The method according to any one of claims 43 to 82.   84. The method of any one of claims 43 to 83, wherein the user data comprises a user identifier. A communication module configured to receive sample freezing profile data from a remote server;
And at least one sensor configured to detect refrigerator sensor data related to freezing of the sample according to the sample freezing profile data.
A cryogenic refrigerator for freezing a sample according to a sample freezing profile,
The cryogenic refrigerator, wherein the communication module is further configured to transmit the detected refrigerator sensor data to the remote server. Further comprising a control module configured to detect at least one of refrigerator data, sample freezing data, and user data related to freezing the sample according to the sample freezing profile data,
86. The refrigerator according to claim 85, wherein the communication module is further configured to transmit the detected refrigerator data, sample freeze data, and / or user data to the remote server.   87. The refrigerator according to claim 85 or 86, wherein the communication module is further configured to receive an update of the sample freezing profile data from the remote server.   91.The communication module of any of claims 85 to 87, wherein the communication module is further configured to transmit the detected data to the remote server continuously, periodically, or at the end of a refrigeration cycle. The refrigerator as described.   The refrigerator sensor data includes at least one temperature in a freezing chamber of the at least one refrigerator during a refrigeration cycle, a temperature of the sample during a refrigeration cycle, an external temperature at the at least one refrigerator during a refrigeration cycle, and freezing. 89. The refrigerator according to any one of claims 85 to 88, comprising one or more of machine door data.   90.The refrigerator data according to any one of claims 86 to 89, wherein the refrigerator data comprises one or more of a refrigerator identifier, refrigerator energy consumption during a refrigeration cycle, a refrigerator position, and refrigerator alarm data. Refrigerator.   90.The sample freezing data of claim 86 to claim 90, wherein the sample freezing data comprises one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample freezing date, sample freezing time. The refrigerator according to any one of the preceding claims. Further comprising a user interface configured to receive user input related to freezing the sample according to the sample freezing profile data;
92. The refrigerator according to any one of claims 85 to 91, wherein the communication module is further configured to transmit the user input to the remote server.   93. The refrigerator according to any one of claims 85 to 92, further comprising a data storage device configured to store the detected data before transmitting the detected data to the remote server.   94. The method of any of claims 85 to 93, wherein the at least one sensor is configured to continuously detect refrigerator sensor data related to freezing the sample according to the sample freezing profile data during a refrigeration cycle. The refrigerator according to item.   94. The method of any of claims 85 to 93, wherein the at least one sensor is configured to periodically detect refrigerator sensor data related to freezing the sample according to the sample freezing profile data during a refrigeration cycle. The refrigerator according to item. A communication module configured to receive sample thawing profile data from a remote server;
At least one sensor configured to detect thawing sensor data related to thawing the sample according to the sample thawing profile data.
A cryogenic thawing machine for thawing a sample according to a sample thawing profile,
The cryogenic defroster, wherein the communication module is further configured to transmit the detected defrost sensor data to the remote server. Further comprising a control module configured to detect at least one of thawing machine data, sample thawing data, and user data related to thawing the sample according to the sample thawing profile data,
97. The defroster of claim 96, wherein the communication module is further configured to transmit the detected defroster data, sample defrost data, and / or user data to the remote server.   100. The thawing machine of claim 96 or 97, wherein the communication module is further configured to receive an update of the sample thawing profile data from the remote server.   The communication module of any one of claims 96 to 98, wherein the communication module is further configured to transmit the detected data to the remote server continuously, periodically, or at the end of a defrost cycle. The described thawing machine.   The thawing sensor data includes at least one temperature in a thawing chamber of the at least one thawing machine during a thawing cycle, a temperature of a heating unit of the at least one thawing machine during a thawing cycle, the at least one thawing during a thawing cycle. 100. The thawing machine according to any one of claims 96 to 99, wherein the thawing machine includes one or more of external temperature at the machine, thawing door data.   100.The defroster data of any one of claims 97 to 100, wherein the defroster data includes one or more of a defroster identifier, defroster energy consumption during a defrost cycle, defroster location, defroster alert data. Thawing machine.   102. The sample of claim 97-101, wherein the sample thawing data comprises one or more of sample identifier, sample composition data, sample size data, sample container data, sample thawing profile data, sample thawing date, sample thawing. The thawing machine according to any one of the preceding claims. A user interface configured to receive user input related to thawing the sample according to the sample thawing profile data;
103. The defroster of any one of claims 96 to 102, wherein the communication module is further configured to transmit the user input to the remote server.   104. The decompressor of any one of claims 96-103, further comprising a data storage device configured to store the detected data before transmitting the detected data to the remote server.   105. Any one of claims 96-104, wherein the at least one sensor is configured to continuously detect thawing sensor data during a thawing cycle related to thawing the sample according to the sample thawing profile data. The thawing machine described in.   105. Any of the claims 96-104, wherein the at least one sensor is configured to periodically detect thaw sensor data during a thaw cycle related to thawing the sample according to the sample thaw profile data. The thawing machine described in. A communication module configured to receive sample transport profile data from a remote server;
At least one sensor configured to detect transport sensor data related to transport of the sample according to the sample transport profile data.
A cryogenic transport device for transporting a cryogenic frozen sample according to a sample transport profile,
The cryogenic transport device, wherein the communication module is further configured to transmit the detected transport sensor data to the remote server. Further comprising a control module configured to detect at least one of transport device data, sample transport data, and user data related to transport of the sample according to the sample transport profile data;
108. The transport device of claim 107, wherein the communication module is further configured to transmit the detected transport device data, sample transport data, and / or user data to the remote server.   109. The transport device of claim 107 or 108, wherein the communication module is further configured to receive an update of the sample transport profile data from the remote server.   110. The transport device of any one of claims 107 to 109, wherein the communication module is further configured to continuously or periodically transmit the detected data to the remote server.   Wherein the transport sensor data is at least one temperature in a transport chamber of the at least one transport device during transport, an external temperature at the at least one transport device, a transport device door data, a g force at the at least one transport device, the 1 11. Any one of claims 107 to 110, comprising one or more of an orientation of at least one transport device, an internal and / or external humidity at the at least one transport device, power connection data, battery life data. The transport device according to the paragraph.   112. The transport of any one of claims 108-111, wherein the transport device data comprises one or more of a transport device identifier, transport device energy consumption data, transport device location data, transport device alert data. device.   Wherein the sample transport data comprises one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample transport profile data, sample thawing date, sample transport date. Clause 113. The transport device according to any one of clauses 108 to 112. A user interface configured to receive user input related to transport of the sample according to the sample transport profile data;
114. The transport device of any one of claims 107-113, wherein the communication module is further configured to transmit the user input to the remote server.   115. The transport device of any one of claims 107 to 114, further comprising a data storage device configured to store the detected data before transmitting the detected data to the remote server. 115. The transport device of any one of claims 107-115, further comprising a portable power source. A remote server for remotely monitoring cryogenic processing of a sample,
Configured to transmit sample freezing profile data to at least one cryogenic refrigerator and to receive from the at least one refrigerator freezer sensor data detected related to freezing the sample according to the sample freezing profile data. A communication module;
A data storage device configured to store the received data.   The communication module receives at least one of detected refrigerator data, sample frozen data, and / or user data from the at least one refrigerator related to freezing the sample according to the sample frozen profile data. 118. The server of claim 117, further configured to:   119. The server of claim 117 or 118, wherein the communication module is further configured to transmit an update of the sample freezing profile data to the at least one refrigerator.   119. The communication module of any of claims 117 to 119, wherein the communication module is further configured to receive the detected data from the at least one refrigerator continuously, periodically, or at the end of a refrigeration cycle. The server according to claim 1.   121. The server of any one of claims 117 to 120, further comprising a processor configured to generate an actual refrigeration graph from the detected data received from the at least one cryogenic refrigerator.   122. The server of any one of claims 117-121, further comprising a processor configured to compare the sample refrigeration profile data to the detected data received from the at least one cryogenic refrigerator. The communication module is further configured to transmit the sample refrigeration profile data to a plurality of cryogenic refrigerators,
124. The server of claim 121, wherein the processor is further configured to compare the actual refrigeration graphs generated for the plurality of chillers. The communication module is further configured to transmit the sample refrigeration profile data to a plurality of cryogenic refrigerators, wherein the server comprises:
124. The server of any one of claims 117 to 123, further comprising a processor configured to compare the detected data received from the plurality of refrigerators. The communication module is further configured to transmit the sample refrigeration profile data to a plurality of cryogenic refrigerators, wherein the server comprises:
124. The server of any one of claims 117 to 123, further comprising a processor configured to compare the detected data received from a group of refrigerators selected from the plurality of refrigerators.   The refrigerator sensor data includes at least one temperature in a freezing chamber of the at least one refrigerator during a refrigeration cycle, a temperature of the sample during a refrigeration cycle, an external temperature at the at least one refrigerator during a refrigeration cycle, and freezing. 126. The server of any one of claims 117 to 125, wherein the server comprises one or more of machine door data.   127. The refrigerator data of any one of claims 118 to 126, wherein the refrigerator data comprises one or more of a refrigerator identifier, refrigerator energy consumption during a refrigeration cycle, refrigerator position, refrigerator alarm data. Server.   128.The sample freezer data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample freezing date, sample freezing time, A server according to any one of the preceding claims.   129. The server of any of claims 117-128, wherein the communication module is further configured to receive user input related to freezing the sample according to the sample freezing profile data at the at least one refrigerator. .   The communication module is further configured to transmit sample thawing profile data to at least one thawing machine and receive detected thawing sensor data from the at least one thawing machine related to thawing the sample according to the sample thawing profile data. 130. The server according to any one of claims 117 to 129, configured.   The communication module receives, from the at least one thaw, at least one of detected thaw data, sample thaw data, and / or user data related to thawing the sample according to the sample thawing profile data. The server of claim 130, further configured to:   132. The server of claim 130 or 131, wherein the communication module is further configured to transmit an update of the sample thawing profile data to the at least one thawing machine.   133. The communication module of any of claims 130 to 132, wherein the communication module is further configured to receive the detected data from the at least one decompressor continuously, periodically, or at the end of a defrost cycle. The server according to claim 1.   134. The server of any one of claims 130 to 133, further comprising a processor configured to generate an actual decompression graph from the detected data received from the at least one decompressor.   135. The server of any one of claims 130 to 134, further comprising a processor configured to compare the sample thawing profile data to the detected data received from the at least one thawing machine. The communication module is further configured to transmit the sample thawing profile data to a plurality of thawing machines;
135. The server of claim 134, wherein the processor is further configured to compare the actual decompression graphs generated for the plurality of decompressors. The communication module is further configured to transmit the sample thawing profile data to a plurality of thawing machines, wherein the server comprises:
137. The server of any one of claims 130 to 136, further comprising a processor configured to compare the detected data received from the plurality of decompressors. The communication module is further configured to transmit the sample thawing profile data to a plurality of thawing machines, wherein the server comprises:
137. The server of any one of claims 130 to 136, further comprising a processor configured to compare the detected data received from a group of defrosters selected from the plurality of defrosters.   The thawing sensor data includes at least one temperature in a thawing chamber of the at least one thawing machine during a thawing cycle, a temperature of a heating unit of the at least one thawing machine during a thawing cycle, the at least one thawing during a thawing cycle. 139. The server of any one of claims 130 to 138, comprising one or more of an external temperature at the machine, thawing machine door data.   139. The thawing machine data of any one of claims 131 to 139, wherein the thawing machine data comprises one or more of a thawing machine identifier, thawing machine energy consumption during a thawing cycle, a thawing machine location, a thawing machine alert data. Server.   141.The sample of claim 131-140, wherein the sample thawing data comprises one or more of sample identifier, sample composition data, sample size data, sample container data, sample thawing profile data, sample thawing date, sample thawing. A server according to any one of the preceding claims.   142. The server of any one of claims 130-141, wherein the communication module is further configured to receive user input from the at least one thawer related to thawing the sample according to the sample thawing profile data. .   The communication module further transmits sample transport profile data to at least one transport device and receives detected transport sensor data from the at least one transport device related to transport of the sample according to the sample transport profile data. 142. The server according to any one of claims 117 to 142, configured.   The communication module receives, from the at least one transport device, at least one of detected transport device data, sample transport data, and / or user data related to transport of the sample according to the sample transport profile data. 146. The server of claim 143, further configured to:   145. The server of claim 143 or 144, wherein the communication module is further configured to transmit an update of the sample transport profile data to the at least one transport device.   148. The server of any one of claims 143 to 145, wherein the communication module is further configured to continuously or periodically receive the detected data from the at least one transport device.   147. The server of any one of claims 143 to 146, further comprising a processor configured to generate an actual transport graph from the detected data received from the at least one transport device.   148. The server of any one of claims 143 to 147, further comprising a processor configured to compare the sample transport profile data to the detected data received from the at least one transport device. The communication module is further configured to transmit the sample transport profile data to a plurality of transport devices;
148. The server of claim 147, wherein the processor is further configured to compare the actual transport graph generated for the plurality of transport devices. The communication module is further configured to transmit the sample transport profile data to a plurality of transport devices, wherein the server comprises:
149. The server of any one of claims 143 to 149, further comprising a processor configured to compare the detected data received from the plurality of transport devices. The communication module is further configured to transmit the sample transport profile data to a plurality of transport devices, wherein the server comprises:
150. The server of any one of claims 143 to 149, further comprising a processor configured to compare the detected data received from a group of transport devices selected from the plurality of transport devices.   Wherein the transport sensor data includes at least one temperature in a transport chamber of the at least one transport device during a transport cycle, an external temperature at the at least one transport device, transport device door data, a g-force at the at least one transport device, 152.The method of any of claims 143 to 151, comprising one or more of an orientation of the at least one transport device, internal and / or external humidity at the at least one transport device, power connection data, battery life data. The server according to claim 1.   152. The server of any of claims 144-152, wherein the transport device data comprises one or more of a transport device identifier, transport device energy consumption data, transport device location data, transport device alert data. .   The sample transport data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample transport profile data, sample thawing profile data, sample transport date, The server according to any one of claims 144 to 153.   157. The server of any of claims 143 to 154, wherein the communication module is further configured to receive user input from the at least one transport device related to transport of the sample according to the sample transport profile data. .   Further comprising a processor configured to generate an observation based on the detected data received from the at least one refrigerator and / or the at least one thawer and / or the at least one transport device. A server according to any one of claims 117 to 155.   Further comprising a processor configured to generate an alert based on the detected data received from the at least one refrigerator and / or the at least one thawer and / or the at least one transport device. 157. The server according to any one of claims 117 to 156.   A computer program product comprising computer code for performing the method of any one of claims 43 to 84 and 201 to 245. A system for remotely monitoring cryogenic processing of a sample,
At least one thawing machine for thawing the sample according to sample thawing profile data, comprising at least one sensor, wherein the at least one sensor detects thawing sensor data related to thawing the sample according to the sample thawing profile data. At least one thawing machine configured to:
A remote server located remotely from the defroster, the remote server configured to receive the detected defrost sensor data from the at least one defroster. A system for remotely monitoring cryogenic processing of a sample,
At least one cryogenic refrigerator that freezes the sample according to sample freezing profile data, the refrigerator sensor comprising at least one sensor, wherein the at least one sensor is related to freezing the sample according to the sample freezing profile data. At least one cryogenic refrigerator configured to detect data;
A remote server remote from the refrigerator, the remote server being configured to receive the detected refrigerator sensor data from the at least one refrigerator. A system for remotely monitoring cryogenic processing of a sample,
At least one transport device for transporting the sample according to sample transport profile data, comprising at least one sensor, wherein the at least one sensor detects transport sensor data related to transport of the sample according to the sample transport profile data. At least one transport device, configured to:
A remote server located remotely from the transport device, the remote server configured to receive the detected transport sensor data from the at least one transport device. At least one cryogenic refrigerator for freezing the sample,
A remote server located remotely from the refrigerator, configured to transmit sample freezing profile data to the at least one cryogenic refrigerator; and
A system for remotely monitoring cryogenic processing of a sample, comprising:
Wherein the at least one refrigerator comprises at least one sensor, wherein the at least one sensor is configured to detect refrigerator sensor data related to freezing the sample according to the sample freezing profile data;
The system, wherein the remote server is further configured to receive the detected refrigerator sensor data from the at least one refrigerator. The at least one refrigerator further comprises a control module, wherein the control module relates to at least one of refrigerator data, sample freezing data, and user data related to freezing the sample according to the sample freezing profile data. Configured to detect one
163. The system of claim 162, wherein the remote server is further configured to receive the detected refrigerator data, sample refrigerator data, and / or user data from the refrigerator.   163. The system of claim 162 or 163, wherein the remote server is further configured to transmit an update of the sample freezing profile data to the at least one cryogenic refrigerator.   168. The remote server of any of claims 162 to 164, wherein the remote server is configured to receive the detected data from the at least one refrigerator continuously, periodically, or at the end of a refrigeration cycle. The system according to paragraph.   166. The system of any of claims 162 to 165, wherein the remote server is configured to generate an actual refrigeration graph from the detected data received from the at least one cryogenic refrigerator.   171. The system of any of claims 162 to 166, wherein the remote server is configured to compare the sample freezing profile to the detected data received from the at least one cryogenic refrigerator.   177. The system of claim 166, further comprising a plurality of chillers, wherein the remote server is configured to compare the actual refrigeration graphs generated for the plurality of chillers.   171. The system of any one of claims 162 to 168, further comprising a plurality of refrigerators, wherein the remote server is configured to compare the detected data received from the plurality of refrigerators.   172. The method of any of claims 162 to 168, further comprising a plurality of refrigerators, wherein the remote server is configured to compare the detected data received from a group of refrigerators selected from the plurality of refrigerators. A system according to claim 1.   The refrigerator sensor data includes at least one temperature in a freezing chamber of the at least one refrigerator during a refrigeration cycle, a temperature of the sample during a refrigeration cycle, an external temperature at the at least one refrigerator during a refrigeration cycle, and freezing. 170. The system of any one of claims 162 to 170, wherein the system comprises one or more of machine door data.   172.The refrigerator data of any one of claims 163-171, wherein the refrigerator data comprises one or more of a refrigerator identifier, refrigerator energy consumption during a refrigeration cycle, a refrigerator position, and refrigerator alarm data. System.   172.The sample freezing data of claim 161, wherein the sample freezing data comprises one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample freezing date, sample freezing time. A system according to any one of the preceding claims. The at least one refrigerator comprises a user interface, the user interface configured to receive user input related to freezing the sample according to the sample freezing profile data;
174. The system of any one of claims 162 to 173, wherein the remote server is further configured to receive the user input. Further comprising at least one transport device for transporting the sample,
The remote server is further configured to be located remotely from the transport device and to transmit sample transport profile data to the at least one transport device;
The at least one transport device comprises at least one sensor, the at least one sensor configured to detect transport sensor data related to transport of the sample according to the sample transport profile data;
174. The system of any of claims 162 to 174, wherein the remote server is further configured to receive the detected transport sensor data from the at least one transport device. The at least one transport device further comprises a control module, wherein the control module relates to transport of the sample according to the sample transport profile data, at least one of transport device data, sample transport data, and user data. Configured to detect one
178. The system of claim 175, wherein the remote server is further configured to receive the detected transport device data, sample transport data, and / or user data from the transport device.   177. The system of claim 175 or 176, wherein the remote server is further configured to transmit an update of the sample transport profile data to the at least one transport device.   177. The system of any one of claims 175 to 177, wherein the remote server is configured to continuously or periodically receive the detected data from the at least one transport device.   178. The system of any one of claims 175 to 178, wherein the remote server is configured to generate an actual transport graph from the detected data received from the at least one transport device.   179. The system of any one of claims 175 to 179, wherein the remote server is configured to compare the sample transport profile to the detected data received from the at least one transport device.   179. The system of claim 179, further comprising a plurality of transport devices, wherein the remote server is configured to compare the actual transport graph generated for the plurality of transport devices.   181. The system of any of claims 175-181, further comprising a plurality of transport devices, wherein the remote server is configured to compare the detected data received from the plurality of transport devices.   181. Any of claims 175 to 181 further comprising a plurality of transport devices, wherein the remote server is configured to compare the detected data received from a group of transport devices selected from the plurality of transport devices. A system according to claim 1.   Wherein the transport sensor data is at least one temperature in a storage room of the at least one transport device during transport, an external temperature at the at least one transport device, a transport device door data, a g-force at the at least one transport device, the 183.The method of any one of claims 175 to 183, comprising one or more of: orientation of a transport device, internal and / or external humidity at the at least one transport device, power connection data, battery life data. System.   184. The system of any of claims 176-184, wherein the transport device data comprises one or more of transport device identifiers, transport device energy consumption data, transport device location data, transport device alert data. .   The sample transport data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample transport profile data, sample thawing profile data, sample transport date, The system according to any one of claims 174 to 185. The at least one transport device comprises a user interface, the user interface configured to receive user input related to transport of the sample according to the sample transport profile data;
189. The system of any one of claims 175 to 186, wherein the remote server is further configured to receive the user input. At least one transport device for transporting the sample;
A remote server remote from the transport device, the remote server configured to transmit sample transport profile data to the at least one transport device;
A system for remotely monitoring cryogenic processing of a sample, comprising:
The at least one transport device comprises at least one sensor, the at least one sensor configured to detect transport sensor data related to transport of the sample according to the sample transport profile data;
The system, wherein the remote server is further configured to receive the detected transport sensor data from the at least one transport device. The at least one transport device further comprises a control module, wherein the control module relates to transport of the sample according to the sample transport profile data, at least one of transport device data, sample transport data, and user data. Configured to detect one
189. The system of claim 188, wherein the remote server is further configured to receive the detected transport device data, sample transport data, and / or user data from the transport device.   189. The system of claim 188 or 189, wherein the remote server is further configured to transmit an update of the sample transport profile data to the at least one transport device.   190. The system of any one of claims 188-190, wherein the remote server is configured to continuously or periodically receive the detected data from the at least one transport device.   192. The system of any one of claims 188-191, wherein the remote server is configured to generate an actual transport graph from the detected data received from the at least one transport device.   192. The system of any one of claims 188-192, wherein the remote server is configured to compare the sample transport profile to the detected data received from the at least one transport device.   192. The system of claim 192, further comprising a plurality of transport devices, wherein the remote server is configured to compare the actual transport graph generated for the plurality of transport devices.   195. The system of any one of claims 188-194, further comprising a plurality of transport devices, wherein the remote server is configured to compare the detected data received from the plurality of transport devices.   210. The method of any of claims 188-194, further comprising a plurality of transport devices, wherein the remote server is configured to compare the detected data received from a group of transport devices selected from the plurality of transport devices. A system according to claim 1.   Wherein the transport device sensor data is at least one temperature in a storage room of the at least one transport device during transport, an external temperature at the at least one transport device, transport device door data, a g force at the at least one transport device, 196.The method of any one of claims 188-196, comprising one or more of: an orientation of the transport device, an internal and / or external humidity at the at least one transport device, power connection data, battery life data. The described system.   200. The system of any one of claims 189-197, wherein the transport device data comprises one or more of transport device identifiers, transport device energy consumption data, transport device location data, transport device alert data. .   The sample transport data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample transport profile data, sample thawing profile data, sample transport date, 199. The system of any one of claims 189-198. The at least one transport device comprises a user interface, the user interface configured to receive user input related to transport of the sample according to the sample transport profile data;
200. The system of any one of claims 188-199, wherein the remote server is further configured to receive the user input. A method for remotely monitoring cryogenic processing of a sample, comprising:
Transmitting sample freezing profile data from the remote server to at least one cryogenic refrigerator;
In the at least one cryogenic refrigerator, freezing the sample according to the sample freezing profile data,
In the at least one cryogenic refrigerator, detecting refrigerator sensor data related to freezing the sample according to the sample freezing profile data,
Receiving, at the remote server, the detected refrigerator sensor data from the at least one refrigerator. In the at least one cryogenic refrigerator, related to freezing the sample according to the sample freezing profile data, detecting at least one of refrigerator data, sample freezing data, and user data,
220. The method of claim 201, further comprising: receiving, at the remote server, the detected refrigerator data, sample refrigerator data, and / or user data from the at least one refrigerator.   202. The method of claim 201 or 202, further comprising transmitting an update of the sample freezing profile data from the remote server to the at least one cryogenic refrigerator.   203.The method of any one of claims 201 to 203, further comprising receiving the detected data from the at least one cryogenic refrigerator continuously, periodically, or at the end of a refrigeration cycle. Method.   210. The method of any one of claims 201 to 204, further comprising at the remote server generating an actual refrigeration graph from the detected data received from the at least one cryogenic refrigerator.   210. The method of any of claims 201-205, further comprising comparing, at the remote server, the sample freezing profile with the detected data received from the at least one cryogenic refrigerator. The at least one cryogenic refrigerator includes a plurality of refrigerators, wherein the method comprises:
205. The method of claim 205, further comprising comparing, at the remote server, the actual refrigeration graphs generated for the plurality of chillers. The at least one cryogenic refrigerator includes a plurality of refrigerators, wherein the method comprises:
210. The method of any one of claims 201 to 207, further comprising comparing, at the remote server, the detected data received from the plurality of refrigerators. The at least one cryogenic refrigerator includes a plurality of refrigerators, wherein the method comprises:
210. The method of any one of claims 201 to 207, further comprising comparing, at the remote server, the detected data received from a group of refrigerators selected from the plurality of refrigerators.   The refrigerator sensor data includes at least one temperature in a freezing chamber of the at least one refrigerator during a refrigeration cycle, a temperature of the sample during a refrigeration cycle, an external temperature at the at least one refrigerator during a refrigeration cycle, and freezing. 209. The method of any one of claims 201 to 209, comprising one or more of machine door data.   210.The refrigerator of any one of claims 202 to 210, wherein the refrigerator data comprises one or more of a refrigerator identifier, refrigerator energy consumption during a refrigeration cycle, a refrigerator position, and refrigerator alarm data. the method of.   220.The sample freezing data of claims 202 to 211, wherein the sample freezing data comprises one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample freezing date, sample freezing time. A method according to any one of the preceding claims. Receiving, at the at least one refrigerator, a user input related to freezing the sample according to the sample freezing profile data;
Receiving the user input at the remote server. Transmitting sample transport profile data from the remote server to the at least one transport device;
Transporting the sample in the at least one transport device according to the sample transport profile data;
Detecting at the at least one transport device transport sensor data related to transport of the sample according to the sample transport profile data;
213. The method of any of claims 201 to 213, further comprising: at the remote server, receiving the detected transport sensor data from the at least one transport device. Detecting at the at least one transport device at least one of transport device data, sample transport data, and user data related to transport of the sample according to the sample transport profile data;
Receiving the detected transport device data, sample transport data, and / or user data from the at least one transport device at the remote server.   226. The method of claim 214 or 215, further comprising transmitting an update of the sample transport profile data from the remote server to the at least one transport device.   231. The method of any one of claims 214 to 216, further comprising receiving, at the remote server, the detected data continuously or periodically from the at least one transport device.   228. The method of any one of claims 214 to 217, further comprising at the remote server generating an actual transport graph from the detected data received from the at least one transport device.   218. The method of any one of claims 214 to 218, further comprising comparing, at the remote server, the sample transport profile data with the detected data received from the at least one transport device. The at least one transport device includes a plurality of transport devices, and the method comprises:
218. The method of claim 218, further comprising comparing, at the remote server, the actual transportation graph generated for the plurality of transportation devices. The at least one transport device includes a plurality of transport devices, and the method comprises:
220. The method of any one of claims 214 to 220, further comprising comparing, at the remote server, the detected data received from the plurality of transport devices. The at least one transport device includes a plurality of transport devices, and the method comprises:
223. The method of any one of claims 214 to 221 further comprising comparing at the remote server the detected data received from a group of transport devices selected from the plurality of transport devices.   Wherein the transport sensor data is at least one temperature in a storage room of the at least one transport device during transport, an external temperature at the at least one transport device, a transport device door data, a g-force at the at least one transport device, the 223.The apparatus of any one of claims 214-222, comprising one or more of: orientation of a transport device, internal and / or external humidity at the at least one transport device, power connection data, battery life data. the method of.   223. The method of any one of claims 215 to 223, wherein the transport device data comprises one or more of transport device identifiers, transport device energy consumption data, transport device location data, transport device alert data. .   The sample transport data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample transport profile data, sample thawing profile data, sample transport date, 230. The method according to any one of claims 215 to 224. Receiving at the at least one transport device a user input related to transport of the sample according to the sample transport profile data;
Receiving the user input at the remote server.   At the remote server, further comprising generating an observation based on the detected data received from the at least one refrigerator and / or the at least one thawer and / or the at least one transport device. 229. The method of any one of claims 201-226.   Further comprising, at the remote server, generating an alert based on the detected data received from the at least one refrigerator and / or the at least one thawer and / or the at least one transport device. 230. The method according to any one of claims 201 to 227.   230. The method of any one of claims 201 to 228, wherein the user data comprises a user identifier. A method for remotely monitoring cryogenic processing of a sample, comprising:
Transmitting sample transport profile data from a remote server to at least one transport device;
Transporting the sample in the at least one transport device according to the sample transport profile data;
Detecting at the at least one transport device transport sensor data related to transport of the sample according to the sample transport profile data;
Receiving the detected transport sensor data from the at least one transport device at the remote server. Detecting at the at least one transport device at least one of transport device data, sample transport data, and user data related to transport of the sample according to the sample transport profile data;
Receiving, at the remote server, the detected transport device data, sample transport data, and / or user data from the at least one transport device;
230. The method of claim 230, further comprising:   230. The method of claim 230 or 231 further comprising transmitting an update of the sample transport profile data from the remote server to the at least one transport device.   231. The method of any of claims 230 to 232, further comprising receiving, at the remote server, the detected data continuously or periodically from the at least one transport device.   231. The method of any of claims 230-233, further comprising at the remote server generating an actual transport graph from the detected data received from the at least one transport device.   235. The method of any of claims 230-234, further comprising comparing, at the remote server, the sample transport profile data with the detected data received from the at least one transport device. The at least one transport device includes a plurality of transport devices, and the method comprises:
249. The method of claim 234, further comprising comparing at the remote server the actual transport graph generated for the plurality of transport devices. The at least one transport device includes a plurality of transport devices, and the method comprises:
237. The method of any of claims 230-236, further comprising comparing, at the remote server, the detected data received from the plurality of transport devices. The at least one transport device includes a plurality of transport devices, and the method comprises:
237. The method of any of claims 230-237, further comprising comparing, at the remote server, the detected data received from a group of transport devices selected from the plurality of transport devices.   Wherein the transport sensor data is at least one temperature in a storage room of the at least one transport device during transport, an external temperature at the at least one transport device, a transport device door data, a g-force at the at least one transport device, the 240.The method of any one of claims 230-238, comprising one or more of an orientation of a transport device, an internal and / or external humidity at the at least one transport device, power connection data, battery life data. the method of.   240. The method of any of claims 231-239, wherein the transport device data comprises one or more of transport device identifiers, transport device energy consumption data, transport device location data, transport device alert data. .   The sample transport data includes one or more of sample identifier, sample composition data, sample size data, sample container data, sample freezing profile data, sample transport profile data, sample thawing profile data, sample transport date, 240. The method according to any one of claims 231 to 240. Receiving at the at least one transport device a user input related to transport of the sample according to the sample transport profile data;
Receiving the user input at the remote server.   At the remote server, further comprising generating an observation based on the detected data received from the at least one refrigerator and / or the at least one thawer and / or the at least one transport device. 243. The method according to any one of claims 230 to 242.   Further comprising, at the remote server, generating an alert based on the detected data received from the at least one refrigerator and / or the at least one thawer and / or the at least one transport device. 250. The method according to any one of claims 230 to 243.   259. The method of any one of claims 230-244, wherein the user data comprises a user identifier.   The remote server is further configured to provide an indication as to a cause of the deviation when the sample thawing profile deviates from the detected data received from the at least one thawing machine. Item 7. The system according to Item 6.   The remote server of claim 7, wherein the remote server is further configured to provide an indication as to the cause of the deviation when the actual decompression graphs generated for the plurality of decompressors deviate from each other. system.   9. The system of claim 8, wherein when the detected data received from the plurality of defrosters deviate from each other, the remote server is further configured to provide an indication as to the cause of the deviation.   When the sample freezing profile deviates from the detected data received from the at least one cryogenic refrigerator, the remote server is further configured to provide an indication as to the cause of the departure. A system according to claim 19 or 167.   172.The remote server of claim 20 or 168, wherein when the actual frozen graphs generated for the plurality of thawing machines deviate from each other, the remote server is further configured to provide an indication as to the cause of the deviation. The described system.   172. The system of claim 21 or 169, wherein the remote server is further configured to provide an indication as to the cause of the deviation when detected data received from the plurality of refrigerators deviate from each other. .   The remote server is further configured to provide an indication as to the cause of the deviation when the sample transport profile deviates from the detected data received from the at least one transport device. The system according to 32, 180, or 193.   181. The remote server is further configured to provide an indication as to the cause of the deviation when the actual transportation graphs generated for the plurality of solution transportation devices deviate from each other. Or the system of 194.   196.The method of claim 34, 182, or 195, wherein when the detected data received from the plurality of transport devices deviate from one another, the remote server is further configured to provide an indication as to the cause of the deviation. The described system.   The method of any one of claims 1 to 42, 159 to 200, and 246 to 254, wherein the remote server is further configured to perform a differential thermal analysis (DTA) on the detected data. system.   The system of claim 255, wherein the remote server is further configured to determine when the detected data deviates from predicted data.   The system of claim 255, wherein the remote server is further configured to determine when the detected data deviates from expected data.   157. The server of any one of claims 117 to 157, further comprising a processor configured to perform differential thermal analysis (DTA) on the detected data.   The server of claim 255, wherein the processor is further configured to determine when the detected data deviates from predicted data.   The server of claim 255, wherein the processor is further configured to determine when the detected data deviates from expected data.   The system of any one of claims 1 to 42, 159 to 200, and 246 to 257, further comprising a user interface for receiving a user observation regarding the detected data.